Azure Databricks Skill

This skill provides expert guidance for Azure Databricks. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.

How to Use This Skill

IMPORTANT for Agent: This file may be large. Use the Category Index below to locate relevant sections, then use read_file with specific line ranges (e.g., L136-L144) to read the sections needed for the user's question

IMPORTANT for Agent: If metadata.generated_at is more than 3 months old, suggest the user pull the latest version from the repository. If mcp_microsoftdocs tools are not available, suggest the user install it: Installation Guide

This skill requires network access to fetch documentation content:

• Preferred: Use mcp_microsoftdocs:microsoft_docs_fetch with query string from=learn-agent-skill. Returns Markdown.
• Fallback: Use fetch_webpage with query string from=learn-agent-skill&accept=text/markdown. Returns Markdown.

Category Index

Category	Lines	Description
Troubleshooting	L37-L125	Diagnosing and fixing Azure Databricks errors: compute startup/termination, SQL/runtime exceptions, Spark performance, connectors/ingestion, pipelines, model serving, and tooling (CLI, VS Code, Terraform).
Best Practices	L126-L329	Best-practice patterns for Databricks architecture, performance, cost, governance, streaming, ML/GenAI, BI, Delta Lake, Vector Search, and operational reliability across Azure Databricks.
Decision Making	L330-L413	Guides for architectural and migration decisions: choosing runtimes, compute, storage/catalogs, ML/AI serving, Lakebase, federation, and upgrade/migration paths across Azure Databricks.
Architecture & Design Patterns	L414-L461	Architectural blueprints and patterns for Databricks lakehouse, governance, DR, networking, pipelines, MLOps/LLMOps, RAG, AI agents, Lakebase, and performance/cost optimization.
Limits & Quotas	L462-L557	Limits, quotas, and constraints for Azure Databricks compute, AI/BI, Lakeflow, connectors, tokens, SQL types/features, Unity Catalog, and model/serving features, plus related workarounds.
Security	L558-L910	Identity, access control, encryption, networking, compliance, and secure integrations for Azure Databricks, including Unity Catalog, Delta Sharing, OAuth, SCIM, keys, and serverless security.
Configuration	L911-L1558	Configuring and managing Azure Databricks: workspaces, compute, networking, security, Unity Catalog, Lakehouse Federation, jobs/pipelines, AI/ML/GenAI, Lakebase, connectors, and CLI/bundle settings.
Integrations & Coding Patterns	L1559-L2957	Integrating Databricks with external systems and tools, using APIs/CLI/SDKs, building pipelines and agents, and applying common Spark/SQL/ML coding patterns and functions.
Deployment	L2958-L3023	Deploying and managing Azure Databricks workspaces, apps, models, agents, and Lakehouse resources using ARM/Bicep/Terraform/CLI, CI/CD tools, Asset Bundles, and model serving endpoints.

Troubleshooting

Topic	URL
Troubleshoot Databricks serverless GPU compute issues	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/serverless-gpu-troubleshooting
Troubleshoot Databricks compute startup and metastore issues	https://learn.microsoft.com/en-us/azure/databricks/compute/troubleshooting/
Troubleshoot Azure Databricks classic compute termination error codes	https://learn.microsoft.com/en-us/azure/databricks/compute/troubleshooting/cluster-error-codes
Debug Spark applications using Databricks Spark UI and logs	https://learn.microsoft.com/en-us/azure/databricks/compute/troubleshooting/debugging-spark-ui
Troubleshoot common Delta Sharing access errors	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/troubleshooting
Drop Delta table features to resolve protocol compatibility issues	https://learn.microsoft.com/en-us/azure/databricks/delta/drop-feature
Resolve common Databricks Asset Bundles issues	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/faqs
Troubleshoot common Databricks CLI errors and issues	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/troubleshooting
Use Databricks app details for monitoring and troubleshooting	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/view-app-details
Troubleshoot Databricks Connect for Python issues	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/troubleshooting
Troubleshoot Databricks Connect for Scala issues	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/troubleshooting
Troubleshoot Databricks Terraform provider errors	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/troubleshoot
Troubleshoot Databricks VS Code extension errors	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/troubleshooting
Understand and handle error messages in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/error-messages/
Resolve ARITHMETIC_OVERFLOW errors in Databricks	https://learn.microsoft.com/en-us/azure/databricks/error-messages/arithmetic-overflow-error-class
Handle CAST_INVALID_INPUT errors in Azure Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/error-messages/cast-invalid-input-error-class
Diagnose DC_GA4_RAW_DATA_ERROR in GA4 connector	https://learn.microsoft.com/en-us/azure/databricks/error-messages/dc-ga4-raw-data-error-error-class
Resolve DC_SFDC_API_ERROR for Salesforce API calls	https://learn.microsoft.com/en-us/azure/databricks/error-messages/dc-sfdc-api-error-error-class
Troubleshoot DC_SQLSERVER_ERROR in SQL Server connector	https://learn.microsoft.com/en-us/azure/databricks/error-messages/dc-sqlserver-error-error-class
Fix DELTA_ICEBERG_COMPAT_V1_VIOLATION validation failures	https://learn.microsoft.com/en-us/azure/databricks/error-messages/delta-iceberg-compat-v1-violation-error-class
Handle DIVIDE_BY_ZERO errors in Azure Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/error-messages/divide-by-zero-error-class
Use Databricks error conditions for programmatic handling	https://learn.microsoft.com/en-us/azure/databricks/error-messages/error-classes
Resolve EWKB_PARSE_ERROR for malformed EWKB geometry	https://learn.microsoft.com/en-us/azure/databricks/error-messages/ewkb-parse-error-error-class
Resolve EWKT_PARSE_ERROR for malformed EWKT geometry	https://learn.microsoft.com/en-us/azure/databricks/error-messages/ewkt-parse-error-error-class
Troubleshoot GEOJSON_PARSE_ERROR in Databricks geospatial	https://learn.microsoft.com/en-us/azure/databricks/error-messages/geojson-parse-error-error-class
Fix GROUP_BY_AGGREGATE misuse in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/error-messages/group-by-aggregate-error-class
Diagnose H3_INVALID_CELL_ID errors in Databricks H3 functions	https://learn.microsoft.com/en-us/azure/databricks/error-messages/h3-invalid-cell-id-error-class
Resolve H3_INVALID_GRID_DISTANCE_VALUE in H3 grid operations	https://learn.microsoft.com/en-us/azure/databricks/error-messages/h3-invalid-grid-distance-value-error-class
Handle H3_INVALID_RESOLUTION_VALUE errors in Databricks	https://learn.microsoft.com/en-us/azure/databricks/error-messages/h3-invalid-resolution-value-error-class
Troubleshoot H3_NOT_ENABLED and enable H3 expressions	https://learn.microsoft.com/en-us/azure/databricks/error-messages/h3-not-enabled-error-class
Resolve INSUFFICIENT_TABLE_PROPERTY errors in Databricks tables	https://learn.microsoft.com/en-us/azure/databricks/error-messages/insufficient-table-property-error-class
Fix INVALID_ARRAY_INDEX errors in Databricks SQL arrays	https://learn.microsoft.com/en-us/azure/databricks/error-messages/invalid-array-index-error-class
Handle INVALID_ARRAY_INDEX_IN_ELEMENT_AT in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/error-messages/invalid-array-index-in-element-at-error-class
Resolve MISSING_AGGREGATION errors in GROUP BY queries	https://learn.microsoft.com/en-us/azure/databricks/error-messages/missing-aggregation-error-class
Troubleshoot ROW_COLUMN_ACCESS errors for filters and masks	https://learn.microsoft.com/en-us/azure/databricks/error-messages/row-column-access-error-class
Interpret SQLSTATE error codes in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/error-messages/sqlstates
Fix TABLE_OR_VIEW_NOT_FOUND errors in Databricks catalogs	https://learn.microsoft.com/en-us/azure/databricks/error-messages/table-or-view-not-found-error-class
Resolve UNRESOLVED_ROUTINE function resolution errors	https://learn.microsoft.com/en-us/azure/databricks/error-messages/unresolved-routine-error-class
Handle UNSUPPORTED_TABLE_OPERATION in Databricks tables	https://learn.microsoft.com/en-us/azure/databricks/error-messages/unsupported-table-operation-error-class
Handle UNSUPPORTED_VIEW_OPERATION in Databricks views	https://learn.microsoft.com/en-us/azure/databricks/error-messages/unsupported-view-operation-error-class
Resolve WKB_PARSE_ERROR for invalid WKB geometry	https://learn.microsoft.com/en-us/azure/databricks/error-messages/wkb-parse-error-error-class
Resolve WKT_PARSE_ERROR for invalid WKT geometry	https://learn.microsoft.com/en-us/azure/databricks/error-messages/wkt-parse-error-error-class
Troubleshoot MLflow 2 Mosaic AI Agent Evaluation issues	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/troubleshooting
Debug deployed AI agents on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/debug-agent
Troubleshoot common issues in Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/troubleshooting
Troubleshoot Databricks Confluence ingestion issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/confluence-troubleshoot
Troubleshoot Dynamics 365 data ingestion with Lakeflow	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/d365-troubleshoot
Troubleshoot Google Ads connector ingestion errors	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-ads-troubleshoot
Troubleshoot Databricks Google Analytics ingestion issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-analytics-troubleshoot
Troubleshoot Databricks HubSpot connector problems	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/hubspot-troubleshoot
Troubleshoot Jira ingestion and OAuth errors	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/jira-troubleshoot
Troubleshoot Meta Ads ingestion connector issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/meta-ads-troubleshoot
Troubleshoot MySQL ingestion issues in Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-troubleshoot
Troubleshoot PostgreSQL ingestion issues in Lakeflow	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/postgresql-troubleshoot
Troubleshoot Salesforce ingestion connector problems	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/salesforce-troubleshoot
Troubleshoot ServiceNow ingestion connector issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-troubleshoot
Troubleshoot Microsoft SharePoint ingestion connector	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-troubleshoot
Diagnose and fix Lakeflow SQL Server ingestion issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-troubleshoot
Troubleshoot Databricks TikTok Ads connector errors	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/tiktok-ads-troubleshoot
Resolve common Workday Reports ingestion failures	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/workday-reports-troubleshoot
Troubleshoot Databricks Zendesk Support connector issues	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/zendesk-support-troubleshoot
Handle Zerobus Ingest connector errors and retries	https://learn.microsoft.com/en-us/azure/databricks/ingestion/zerobus-errors
Use Databricks init script logging for debugging cluster startup	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/logs
Diagnose and repair Azure Databricks job failures	https://learn.microsoft.com/en-us/azure/databricks/jobs/repair-job-failures
Resolve high initialization times in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/fix-high-init
Monitor and troubleshoot Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/observability
Recover pipelines from streaming checkpoint failures	https://learn.microsoft.com/en-us/azure/databricks/ldp/recover-streaming
Troubleshoot Databricks Feature Store issues and limits	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/troubleshooting-and-limitations
Debug common Databricks Model Serving endpoint issues	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/model-serving-debug
Diagnose and resolve Databricks model serving timeouts	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/model-serving-timeouts
Debug Python code in Databricks notebooks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/debugger
Troubleshoot failing Spark jobs and removed executors in Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/failing-spark-jobs
Debug slow Spark stages with low I/O	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/slow-spark-stage-low-io
Diagnose expensive Spark reads using SQL DAG	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/spark-dag-expensive-read
Diagnose and fix Spark memory issues on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/spark-memory-issues
Detect unintended Spark data rewrites in DAG	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/spark-rewriting-data
Troubleshoot common Databricks Partner Connect issues	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/troubleshoot
Troubleshoot Databricks Git folders errors	https://learn.microsoft.com/en-us/azure/databricks/repos/errors-troubleshooting
Fetch cursor rows with FETCH in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/fetch-stmt
Open cursors with OPEN and handle errors in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/open-stmt
Repair Delta table metadata with FSCK REPAIR TABLE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-fsck
Resolve Databricks SQL performance insights warnings	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/performance-insights
Use Databricks query history to debug performance	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-history
Interpret Databricks SQL query profiles for tuning	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-profile
Inspect Structured Streaming state data and metadata for debugging	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/read-state

Best Practices

Topic	URL
Use default Databricks compute policy families effectively	https://learn.microsoft.com/en-us/azure/databricks/admin/clusters/policy-families
Apply identity best practices in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/best-practices
Apply best practices for Databricks serverless workspaces	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/serverless-workspaces-best-practices
Avoid installing libraries via Databricks init scripts	https://learn.microsoft.com/en-us/azure/databricks/archive/compute/libraries-init-scripts
Apply best practices for Databricks compute policies	https://learn.microsoft.com/en-us/azure/databricks/archive/compute/policies-best-practices
Use DBIO for transactional writes to cloud storage	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/dbio-commit
Optimize skewed joins in Databricks with skew hints	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/skew-join
Apply Azure Databricks platform administration best practices	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/administration
Optimize BI performance with Databricks BI serving	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/bi-serving
Prepare and model data for high-performance BI on Databricks	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/bi-serving-data-prep
Configure Azure Databricks SQL warehouses for BI performance	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/bi-serving-sql-serving
Follow best practices for Azure Databricks compute creation	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/compute
Implement production job scheduling best practices in Databricks	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/jobs
Apply Power BI performance best practices with Databricks	https://learn.microsoft.com/en-us/azure/databricks/cheat-sheet/power-bi
Follow Databricks compute configuration recommendations	https://learn.microsoft.com/en-us/azure/databricks/compute/cluster-config-best-practices
Use flexible node types for reliable Databricks compute	https://learn.microsoft.com/en-us/azure/databricks/compute/flexible-node-types
Apply best practices for configuring and using Databricks pools	https://learn.microsoft.com/en-us/azure/databricks/compute/pool-best-practices
Apply serverless compute best practices in Databricks	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/best-practices
Follow best practices for Databricks serverless GPU training workloads	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/sgc-best-practices
Apply data loading best practices on Databricks serverless GPU compute	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/sgc-dataloading
Optimize Databricks SQL warehouses for BI workloads	https://learn.microsoft.com/en-us/azure/databricks/compute/sql-warehouse/bi-workload-settings
Configure Azure Databricks connections to external data sources	https://learn.microsoft.com/en-us/azure/databricks/connect/
Optimize Databricks dashboard datasets and caching	https://learn.microsoft.com/en-us/azure/databricks/dashboards/caching
Observability best practices for Databricks jobs and pipelines	https://learn.microsoft.com/en-us/azure/databricks/data-engineering/observability-best-practices
Optimize UDFs for Unity Catalog ABAC policies	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/abac/udf-best-practices
Apply Unity Catalog data governance best practices	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/best-practices
Work with legacy Hive metastore database objects	https://learn.microsoft.com/en-us/azure/databricks/database-objects/hive-metastore
Safely use and migrate away from Databricks DBFS root	https://learn.microsoft.com/en-us/azure/databricks/dbfs/dbfs-root
Apply DBFS and Unity Catalog best practices in Databricks	https://learn.microsoft.com/en-us/azure/databricks/dbfs/unity-catalog
Optimize Delta Sharing egress costs for providers	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/manage-egress
Apply Delta Lake best practices on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/best-practices
Use liquid clustering instead of partitioning for Delta tables	https://learn.microsoft.com/en-us/azure/databricks/delta/clustering
Enrich Delta tables with comments, tags, and custom metadata	https://learn.microsoft.com/en-us/azure/databricks/delta/custom-metadata
Configure data skipping with stats, Z-order, and optimize	https://learn.microsoft.com/en-us/azure/databricks/delta/data-skipping
Use deletion vectors to accelerate Delta table updates	https://learn.microsoft.com/en-us/azure/databricks/delta/deletion-vectors
Work with Delta table history and time travel safely	https://learn.microsoft.com/en-us/azure/databricks/delta/history
Optimize Delta table data layout for performance	https://learn.microsoft.com/en-us/azure/databricks/delta/optimize
Handle Delta Lake limitations on Amazon S3	https://learn.microsoft.com/en-us/azure/databricks/delta/s3-limitations
Perform selective overwrites in Delta Lake on Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/selective-overwrite
Tune Delta table data file sizes in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/tune-file-size
Safely evolve Delta table schemas on Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/update-schema
Vacuum Delta tables to remove unused data files	https://learn.microsoft.com/en-us/azure/databricks/delta/vacuum
Optimize VARIANT column performance with shredding in Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/variant-shredding
Apply CI/CD best practices on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/best-practices
Develop Databricks Apps with recommended patterns	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/app-development
Apply security and performance best practices to Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/best-practices
Apply advanced Databricks Connect usage patterns	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/advanced
Test Databricks Connect Python code with pytest	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/testing
Test Databricks Connect Scala code with ScalaTest	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/testing
Use external systems to access Unity Catalog data	https://learn.microsoft.com/en-us/azure/databricks/external-access/
Choose between Databricks volumes and workspace files	https://learn.microsoft.com/en-us/azure/databricks/files/files-recommendations
Store and reference Databricks init scripts in workspace files	https://learn.microsoft.com/en-us/azure/databricks/files/workspace-init-scripts
Customize MLflow 2 AI judges for GenAI evaluation	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/advanced-agent-eval
Implement custom metrics in MLflow 2 Agent Evaluation	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/custom-metrics
Run and interpret MLflow 2 Agent Evaluation results	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/evaluate-agent
Design effective evaluation sets for MLflow 2 agents	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/evaluation-set
Interpret MLflow 2 Agent Evaluation quality and cost metrics	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/llm-judge-metrics
Use MLflow 2 review app for SME feedback	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/review-app
Synthetically generate agent evaluation sets in Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/synthesize-evaluation-set
Measure RAG application performance and quality	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/evaluate-assess-performance
Create evaluation sets for Databricks RAG apps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/evaluate-define-quality
Evaluate and monitor RAG applications on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/fundamentals-evaluation-monitoring-rag
Improve overall RAG application quality on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/quality-overview
Tune RAG chain components for better quality	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/quality-rag-chain
Use benchmarks to evaluate Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/benchmarks
Apply best practices to curate Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/best-practices
Apply production best practices for Auto Loader	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/production
Apply common COPY INTO data loading patterns	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/examples
Apply Lakeflow Connect patterns for ingestion pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/common-patterns
Perform full refreshes in Lakeflow Connect pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/full-refresh
Maintain Lakeflow Connect managed ingestion pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/pipeline-maintenance
Optimize incremental ingestion of Salesforce formula fields	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/salesforce-formula-fields
Implement downstream RAG pipeline from SharePoint data	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-rag
Use init scripts to configure Databricks clusters safely	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/
Reference external files safely in Databricks init scripts	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/referencing-files
Test applications using the Databricks ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/testing
Configure compute for Lakeflow Jobs effectively	https://learn.microsoft.com/en-us/azure/databricks/jobs/compute
Best practices for configuring classic Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/run-classic-jobs
Use Databricks lakehouse cost optimization best practices	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/cost-optimization/best-practices
Implement Databricks data and AI governance best practices	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/data-governance/best-practices
Apply interoperability and usability best practices in Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/interoperability-and-usability/best-practices
Follow operational excellence best practices on Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/operational-excellence/best-practices
Apply performance efficiency best practices on Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/performance-efficiency/best-practices
Implement reliability best practices on Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/reliability/best-practices
Optimize pipeline clusters with autoscaling	https://learn.microsoft.com/en-us/azure/databricks/ldp/auto-scaling
Use AUTO CDC APIs for Databricks pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/cdc
Develop and test Lakeflow Spark Declarative Pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/develop
Manage Python dependencies in Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/external-dependencies
Scale expectations with advanced Databricks patterns	https://learn.microsoft.com/en-us/azure/databricks/ldp/expectation-patterns
Develop and debug ETL pipelines with Lakeflow Pipelines Editor	https://learn.microsoft.com/en-us/azure/databricks/ldp/multi-file-editor
Develop and debug pipelines using legacy notebooks	https://learn.microsoft.com/en-us/azure/databricks/ldp/notebook-devex
Create source-controlled pipelines with Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/ldp/source-controlled
Optimize stateful streaming with watermarks	https://learn.microsoft.com/en-us/azure/databricks/ldp/stateful-processing
Implement data transformations in Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/transform
Restart the Python process to refresh Databricks libraries	https://learn.microsoft.com/en-us/azure/databricks/libraries/restart-python-process
Hyperopt tuning best practices and troubleshooting	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-best-practices
Use covariates to improve AutoML forecasting accuracy	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/automl-covariate-forecast
Ensure point-in-time correctness for feature joins	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/time-series
Benchmark Databricks LLM endpoints for latency and throughput	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/prov-throughput-run-benchmark
Prepare data for distributed ML training	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/load-data/ddl-data
Perform batch inference on Spark DataFrames in Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-inference/dl-model-inference
Run PyTorch ResNet-50 inference on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-inference/resnet-model-inference-pytorch
Optimize TensorFlow inference with TensorRT on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-inference/resnet-model-inference-tensorrt
Validate Databricks models before deployment to serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/model-serving-pre-deployment-validation
Monitor Databricks model quality and serving endpoint health	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/monitor-diagnose-endpoints
Optimize Databricks Model Serving endpoints for production workloads	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/production-optimization
Plan and execute load testing for Databricks model serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/what-is-load-test
Tune and autoscale Ray clusters on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/scale-ray
Run distributed image inference with Spark UDFs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/reference-solutions/images-etl-inference
Deep learning best practices on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/dl-best-practices
Fine-tune Hugging Face models on a single GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/huggingface/fine-tune-model
Prepare datasets for Hugging Face LLM fine-tuning	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/huggingface/load-data
Model data effectively for Unity Catalog metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/
Apply composability patterns in metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/composability
Adapt Apache Spark workloads for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/migration/spark
Align MLflow LLM judges with human reviewers	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/align-judges
Build MLflow evaluation datasets for GenAI apps	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/build-eval-dataset
Use MLflow code-based scorer patterns and examples	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/code-based-scorer-examples
Simulate conversations to test GenAI agents in MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/conversation-simulation
Iterative developer workflow for MLflow scorers	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/custom-scorer-dev-workflow
Design custom MLflow code-based GenAI scorers	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/custom-scorers
Apply MLflow GenAI evaluation harness usage patterns	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/eval-examples
Evaluate multi-turn conversations with MLflow scorers	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/evaluate-conversations
Run MLflow human feedback lifecycle in 10 minutes	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/getting-started/human-feedback
Add MLflow trace annotations during GenAI development	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/human-feedback/dev-annotations
Label existing MLflow traces for expert feedback	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/human-feedback/expert-feedback/label-existing-traces
Use MLflow Review App Chat UI for expert testing	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/human-feedback/expert-feedback/live-app-testing
Evaluate and compare MLflow prompt versions	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/evaluate-prompts
Use MLflow Prompt Registry in production apps	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/use-prompts-in-deployed-apps
Debug and analyze GenAI apps using MLflow traces	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/
Analyze MLflow traces for errors, performance, and user behavior	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/analyze-traces
Apply best practices for effective Databricks Assistant prompts	https://learn.microsoft.com/en-us/azure/databricks/notebooks/assistant-tips
Apply software engineering practices to Databricks notebooks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/best-practices
Use Databricks Assistant effectively for notebook coding	https://learn.microsoft.com/en-us/azure/databricks/notebooks/code-assistant
Orchestrate Databricks notebooks and modularize code	https://learn.microsoft.com/en-us/azure/databricks/notebooks/notebook-workflows
Define Scala package cells for reliable Spark classes	https://learn.microsoft.com/en-us/azure/databricks/notebooks/package-cells
Run Databricks notebooks safely and efficiently	https://learn.microsoft.com/en-us/azure/databricks/notebooks/run-notebook
Test Databricks notebooks with jobs and widgets	https://learn.microsoft.com/en-us/azure/databricks/notebooks/test-notebooks
Apply unit testing patterns to Databricks notebooks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/testing
Connect and query Lakebase instances efficiently	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/query/
Apply performance optimization recommendations on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/
Use adaptive query execution effectively on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/aqe
Configure and maintain statistics for Databricks cost-based optimizer	https://learn.microsoft.com/en-us/azure/databricks/optimizations/cbo
Use Databricks disk caching to accelerate Parquet reads	https://learn.microsoft.com/en-us/azure/databricks/optimizations/disk-cache
Tune dynamic file pruning for Delta Lake queries	https://learn.microsoft.com/en-us/azure/databricks/optimizations/dynamic-file-pruning
Manage isolation levels and write conflicts for Delta tables	https://learn.microsoft.com/en-us/azure/databricks/optimizations/isolation-level
Improve MERGE performance with low shuffle merge	https://learn.microsoft.com/en-us/azure/databricks/optimizations/low-shuffle-merge
Leverage predictive I/O optimizations with Photon on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/predictive-io
Use predictive optimization for Unity Catalog tables	https://learn.microsoft.com/en-us/azure/databricks/optimizations/predictive-optimization
Optimize range joins with Databricks range join optimization	https://learn.microsoft.com/en-us/azure/databricks/optimizations/range-join
Diagnose Databricks cost and performance issues via Spark UI	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/
Use Spark jobs timeline to debug Databricks pipelines	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/jobs-timeline
Diagnose long-running Spark jobs using Databricks Spark UI	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/long-spark-stage
Analyze high I/O Spark stages using Databricks Spark UI	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/long-spark-stage-io
Debug skew and spill in long Spark stages on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/long-spark-stage-page
Handle and reduce spot instance losses on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/losing-spot-instances
Fix long Spark stages with a single task on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/one-spark-task
Optimize many small Spark jobs on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/small-spark-jobs
Resolve overloaded Spark drivers on Databricks clusters	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/spark-driver-overloaded
Investigate gaps between Spark jobs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/spark-ui-guide/spark-job-gaps
Apply best practices for Partner Connect setup	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/best-practice
Tune approx_top_k accuracy and memory in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/approx_top_k
Use element_at safely with arrays and maps in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/element_at
Handle elt index behavior and ANSI mode in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/elt
Use explode correctly in Databricks PySpark queries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/explode
Use monotonically_increasing_id safely in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/monotonically_increasing_id
Handle deprecated months partition transform in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/months
Define and use pandas_udf functions in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/pandas_udf
Configure networking for Lakehouse Federation data sources	https://learn.microsoft.com/en-us/azure/databricks/query-federation/networking
Optimize performance of Lakehouse Federation queries	https://learn.microsoft.com/en-us/azure/databricks/query-federation/performance-recommendations
Transform complex and nested data types efficiently	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/complex-types
Use higher-order functions for array transformations	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/higher-order-functions
Cache SELECT query results for Delta tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-cache
Optimize Delta Lake table layout with OPTIMIZE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-optimize
Reorganize Delta tables with REORG TABLE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-reorg-table
Clean up table storage with VACUUM in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-vacuum
Compute table statistics for Databricks query optimization	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-analyze-compute-statistics
Compute storage metrics for Databricks tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-analyze-compute-storage-metrics
Apply query hints in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-hints
Paginate query results with OFFSET and LIMIT	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-offset
Use Databricks SQL query filters effectively	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-filters
Optimize Databricks queries using primary key RELY constraints	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-optimization-constraints
Use and manage Structured Streaming checkpoints in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/checkpoints
Production best practices for Databricks Structured Streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/production
Design and optimize stateful Structured Streaming queries	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/stateful-streaming
Optimize stateless Structured Streaming queries on Databricks	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/stateless-streaming
Use Unity Catalog with Structured Streaming safely	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/unity-catalog
Apply watermarks to manage state in stateful streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/watermarks
Configure partition discovery for Unity Catalog external tables	https://learn.microsoft.com/en-us/azure/databricks/tables/external-partition-discovery
Analyze Delta table size and optimize storage costs	https://learn.microsoft.com/en-us/azure/databricks/tables/size
Design aggregations for batch, streaming, and materialized views	https://learn.microsoft.com/en-us/azure/databricks/transform/aggregation
Design data models optimized for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/transform/data-modeling
Apply correct join patterns in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/transform/join
Optimize join performance in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/transform/optimize-joins
Implement data cleaning and validation on Databricks	https://learn.microsoft.com/en-us/azure/databricks/transform/validate
Improve Mosaic AI Vector Search performance	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-best-practices
Optimize and manage Mosaic AI Vector Search costs	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-cost-management
Design and run load tests for vector search endpoints	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-endpoint-load-test
Optimize Mosaic AI Vector Search retrieval quality	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-retrieval-quality
Apply Unity Catalog path rules for tables and volumes	https://learn.microsoft.com/en-us/azure/databricks/volumes/paths

Decision Making

Topic	URL
Set and monitor Azure Databricks account budgets	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/budgets
Plan migration from Databricks Standard to Premium tier	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/standard-tier
Evaluate and create Azure Databricks serverless workspaces	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/serverless-workspaces
Migrate Databricks dbx projects to Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/dbx/dbx-migrate
Migrate optimized LLM endpoints to provisioned throughput	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/migrate-provisioned-throughput
Migrate workloads to Databricks Runtime 10.x	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/10.x-migration
Upgrade to Databricks Runtime 11.x safely	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/11.x-migration
Migrate workloads to Databricks Runtime 12.x	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/12.x-migration
Plan migration to Databricks Runtime 13.x	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/13.x-migration
Upgrade strategy for Databricks Runtime 14.x	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/14.x-migration
Plan migration to Databricks Runtime 9.1 LTS	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/9.1-migration
Plan migration of Databricks workloads to Spark 3.x	https://learn.microsoft.com/en-us/azure/databricks/archive/spark-3.x-migration/
Migrate from Deep Learning Pipelines to newer Databricks ML tools	https://learn.microsoft.com/en-us/azure/databricks/archive/spark-3.x-migration/deep-learning-pipelines
Choose and configure the Unity Catalog default catalog	https://learn.microsoft.com/en-us/azure/databricks/catalogs/default
Select appropriate Databricks compute for workloads	https://learn.microsoft.com/en-us/azure/databricks/compute/choose-compute
Decide when and how to use GPU-enabled Databricks compute	https://learn.microsoft.com/en-us/azure/databricks/compute/gpu
Use Databricks serverless GPU compute for custom AI workloads	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/gpu
Plan sizing, autoscaling, and queuing for SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/compute/sql-warehouse/warehouse-behavior
Choose between Databricks SQL warehouse types	https://learn.microsoft.com/en-us/azure/databricks/compute/sql-warehouse/warehouse-types
Use legacy Hive metastore alongside Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/hive-metastore
Plan and execute Databricks Unity Catalog upgrades	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/upgrade/
Plan Delta Lake protocol and feature compatibility	https://learn.microsoft.com/en-us/azure/databricks/delta/feature-compatibility
Choose local development tools for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/
Migrate from legacy to new Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/migrate
Select compute size for Databricks Apps workloads	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/compute-size
Migrate from legacy to new Databricks Connect for Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/migrate
Migrate from legacy to new Databricks Connect Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/migrate
Decide between CDKTF and Databricks Terraform provider	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/cdktf
Select Unity Catalog integrations via REST and Iceberg APIs	https://learn.microsoft.com/en-us/azure/databricks/external-access/integrations
Decide when and how to migrate agents to Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/migrate-agent-to-apps
Use external models with Mosaic AI Model Serving	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/external-models/
Migrate Databricks Community Edition to Free Edition	https://learn.microsoft.com/en-us/azure/databricks/getting-started/ce-migration
Choose between Databricks Free Edition and free trial	https://learn.microsoft.com/en-us/azure/databricks/getting-started/free-trial-vs-free-edition
Select the right Databricks data guide for your role	https://learn.microsoft.com/en-us/azure/databricks/guides/
Choose between Auto Loader file detection modes	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/file-detection-modes
Plan migration of existing data to Delta Lake	https://learn.microsoft.com/en-us/azure/databricks/ingestion/data-migration/
Plan SQL Server ingestion workflow and setup path	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-overview
Migrate from Simba Spark to Databricks ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/migration
Migrate from Spark Submit tasks to supported Databricks patterns	https://learn.microsoft.com/en-us/azure/databricks/jobs/spark-submit
Select a development language for Databricks	https://learn.microsoft.com/en-us/azure/databricks/languages/overview
Load data into Databricks pipelines effectively	https://learn.microsoft.com/en-us/azure/databricks/ldp/load
Choose triggered vs continuous pipeline modes	https://learn.microsoft.com/en-us/azure/databricks/ldp/pipeline-mode
Choose and use streaming tables in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/streaming-tables
Plan around Databricks Runtime ML library maintenance	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/databricks-runtime-ml-maintenance
Use Databricks Online Feature Stores for real-time features	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/online-feature-store
Plan capacity using model units for provisioned throughput	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/model-units
Migrate ML models from Workspace registry to UC	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/migrate-to-uc
Share ML models across Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/multiple-workspaces
Upgrade ML workflows to Unity Catalog models	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/upgrade-workflows
Choose approaches for Databricks batch model inference	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-inference/
Migrate from legacy MLflow Model Serving to Mosaic AI Model Serving	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/migrate-model-serving
Decide when to use Spark versus Ray on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/spark-ray-overview
Decide when to use distributed training on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/distributed-training/
Run serverless forecasting with Mosaic AI Model Training	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/serverless-forecasting
Scope and plan ETL migration to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/migration/etl
Plan Parquet-to-Delta Lake migration on Databricks	https://learn.microsoft.com/en-us/azure/databricks/migration/parquet-to-delta-lake
Migrate enterprise data warehouses to Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/migration/warehouse-to-lakehouse
Use MLflow 3 Model Registry improvements in UC	https://learn.microsoft.com/en-us/azure/databricks/mlflow/model-registry-3
Migrate Databricks Agent Evaluation to MLflow 3	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/agent-eval-migration
Choose between open source and managed MLflow on Databricks	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/overview/oss-managed-diff
Choose compute resources for Databricks notebooks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/notebook-compute
Understand Lakebase Postgres versions and capabilities	https://learn.microsoft.com/en-us/azure/databricks/oltp/
Plan and manage Lakebase instance capacity	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/create/capacity
Choose backup and restore methods in Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/backup-methods
Use Lakebase branches for safe database evolution	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/branches
Use Lakebase scale-to-zero to reduce database costs	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/scale-to-zero
Decide on incremental vs full refresh strategies	https://learn.microsoft.com/en-us/azure/databricks/optimizations/incremental-refresh
Federate queries across Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/query-federation/databricks
Plan and use Hive metastore federation with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/query-federation/hms-federation-concepts
Migrate legacy query federation to Lakehouse Federation	https://learn.microsoft.com/en-us/azure/databricks/query-federation/migrate
Choose and configure Salesforce Data 360 file sharing	https://learn.microsoft.com/en-us/azure/databricks/query-federation/salesforce-data-cloud-file-sharing
Choose appropriate Azure Databricks preview release type	https://learn.microsoft.com/en-us/azure/databricks/release-notes/release-types
Understand Azure Databricks serverless DBU billing by SKU	https://learn.microsoft.com/en-us/azure/databricks/resources/pricing
Evaluate and manage Databricks serverless networking costs	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/cost-management
Decide between VARIANT and JSON strings in Databricks	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/variant-json-diff
Decide between Spark Connect and Spark Classic on Databricks	https://learn.microsoft.com/en-us/azure/databricks/spark/connect-vs-classic
Choose between SparkR and sparklyr on Databricks	https://learn.microsoft.com/en-us/azure/databricks/sparkr/sparkr-vs-sparklyr
Choose synchronous vs asynchronous state checkpointing	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/async-checkpointing
Choose the right output mode for stateful streaming on Databricks	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/output-mode
Choose and use Unity Catalog managed tables	https://learn.microsoft.com/en-us/azure/databricks/tables/managed

Architecture & Design Patterns

Topic	URL
Design disaster recovery patterns for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/disaster-recovery
Design Unity Catalog cloud storage governance architecture	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/
Design managed storage location hierarchy in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/managed-storage
Use Compatibility Mode for external Delta and Iceberg reads	https://learn.microsoft.com/en-us/azure/databricks/external-access/compatibility-mode
Design supervised multi-agent systems with Agent Bricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-bricks/multi-agent-supervisor
Build multi-agent orchestrator systems on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/multi-agent-apps
Design multi-agent systems with Genie and LangGraph	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/multi-agent-genie
Build non-conversational AI agents using MLflow	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/non-conversational-agents
Implement AI agent memory using Lakehouse on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/stateful-agents
Implement AI agent memory on Model Serving with Lakebase	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/stateful-agents-model-serving
Apply agent system design patterns on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/guide/agent-system-design-patterns
Design the RAG inference chain on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/fundamentals-inference-chain-rag
Architect cost optimization for Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/cost-optimization/
Design data and AI governance for Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/data-governance/
Use guiding principles for Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/guiding-principles
Architect interoperability and usability in Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/interoperability-and-usability/
Architect operational excellence for Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/operational-excellence/
Architect performance efficiency for Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/performance-efficiency/
Adopt Databricks lakehouse reference architectures	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/reference
Design for reliability in Databricks lakehouse	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/reliability/
Apply Databricks well-architected lakehouse framework	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/well-architected
Apply Databricks medallion lakehouse architecture	https://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion
Automate pipeline creation using dlt-meta metadata	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/dlt-meta
Design backfill flows in Databricks pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/flows-backfill
Use materialized views in Databricks pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/materialized-views
Implement structured RAG with Databricks online tables	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/rag
Choose Databricks model deployment patterns	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/deployment-patterns
Implement LLMOps workflows on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/llmops
Use MLOps Stacks to codify ML workflows	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/mlops-stacks
Apply recommended MLOps workflow on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/mlops-workflow
Implement function calling in Databricks generative AI apps	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/function-calling
Use structured outputs in Databricks generative AI workflows	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/structured-outputs
Decide when to use distributed XGBoost with Ray Tune	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-raytune-xgboost
Choose and train deep-learning recommender models	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-recommender-models
Use materialization to optimize Databricks metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/materialization
Configure Lakebase high availability with replicas	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/create/high-availability
Design and manage Lakebase Postgres read replicas	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-read-replicas
Connect Azure Databricks Serverless Private Git to on-prem Git	https://learn.microsoft.com/en-us/azure/databricks/repos/connect-on-prem-git-server
Configure Databricks Git server proxy for private Git	https://learn.microsoft.com/en-us/azure/databricks/repos/git-proxy
Use Databricks Serverless Private Git with Private Link	https://learn.microsoft.com/en-us/azure/databricks/repos/serverless-private-git
Understand Databricks networking security architecture	https://learn.microsoft.com/en-us/azure/databricks/security/network/concepts/architecture
Apply Azure Private Link patterns for Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/concepts/private-link
Choose patterns for modeling semi-structured data	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/
Decide when and how to partition Delta tables	https://learn.microsoft.com/en-us/azure/databricks/tables/partitions

Limits & Quotas

Topic	URL
Understand Azure Databricks serverless compute quotas	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/serverless-quotas
Set rate limits for Azure Databricks AI Gateway endpoints	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/rate-limits-beta
Clone legacy Databricks dashboards to AI/BI	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/clone-legacy-to-aibi
Use legacy Databricks online tables for real-time features	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/feature-store/online-tables
Review end-of-support Databricks Runtime release notes	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/
View archived maintenance updates for Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/archive/runtime-release-notes/maintenance-updates-archive
Collaborate in Databricks clean rooms as invitee	https://learn.microsoft.com/en-us/azure/databricks/clean-rooms/clean-room-collaborator
Review dedicated compute requirements and limitations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/compute/dedicated-limitations
Review Databricks serverless compute limitations	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/limitations
Understand standard compute requirements and limitations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/compute/standard-limitations
Configure Query Watchdog to limit large Databricks queries	https://learn.microsoft.com/en-us/azure/databricks/compute/troubleshooting/query-watchdog
Review Databricks AI/BI dashboard limits and quotas	https://learn.microsoft.com/en-us/azure/databricks/dashboards/limits
Configure Delta Sharing IP access lists and limits	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/access-list
Use Azure Databricks personal access tokens	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/pat
Review functional limitations of Databricks Connect Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/limitations
Check Databricks Connect runtime and cluster requirements	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/requirements
Review functional limitations of Databricks Connect Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/limitations
Understand Databricks Free Edition usage limits	https://learn.microsoft.com/en-us/azure/databricks/getting-started/free-edition-limitations
Create Delta tables from small file uploads	https://learn.microsoft.com/en-us/azure/databricks/ingestion/file-upload/upload-data
Handle Azure Databricks volume upload size limits	https://learn.microsoft.com/en-us/azure/databricks/ingestion/file-upload/upload-to-volume
Understand Confluence connector limits and restrictions	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/confluence-limits
Review Dynamics 365 connector ingestion limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/d365-limits
Understand Google Ads connector limitations in Lakeflow	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-ads-limits
Review Databricks Google Analytics connector limits	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-analytics-limits
Understand Databricks HubSpot connector limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/hubspot-limits
Review Databricks Jira connector limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/jira-limits
Understand Meta Ads ingestion connector limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/meta-ads-limits
Review MySQL connector limitations for Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-limits
Understand NetSuite connector limitations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/netsuite-limits
Review PostgreSQL Lakeflow connector limits and constraints	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/postgresql-limits
Review Salesforce Lakeflow connector ingestion limits	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/salesforce-limits
Review ServiceNow connector ingestion limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-limits
Review SharePoint connector ingestion limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-limits
Review SQL Server connector ingestion limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-limits
Understand TikTok Ads connector ingestion limits	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/tiktok-ads-limits
Review Workday Reports connector ingestion limits	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/workday-reports-limits
Understand Zendesk Support connector limitations	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/zendesk-support-limits
Understand Zerobus Ingest connector limitations and quotas	https://learn.microsoft.com/en-us/azure/databricks/ingestion/zerobus-limits
Handle large parameter arrays in For each tasks	https://learn.microsoft.com/en-us/azure/databricks/jobs/for-each-lookup-example
Configure and troubleshoot Lakeflow Jobs with many tasks	https://learn.microsoft.com/en-us/azure/databricks/jobs/large-jobs
Review Lakeflow pipeline limits and quotas	https://learn.microsoft.com/en-us/azure/databricks/ldp/limitations
Understand Databricks Foundation Model API requirements and limits	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/
Foundation Model APIs limits and quotas on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/limits
Review Databricks Model Serving limits, quotas, and region availability	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/model-serving-limits
Understand Databricks generative model lifecycle policy	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/retired-models-policy
Understand MLflow Prompt Registry caching behavior	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/cache-prompts
MLflow Tracing FAQ with latency impact and quotas	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/faq
Notebook limitations and constraints in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/notebook-limitations
Lakebase PostgreSQL compatibility and feature support	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/query/postgres-compatibility
Understand Lakebase Postgres compatibility and limits	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/compatibility
Lakebase Autoscaling limitations and constraints	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/limitations
Use kll_merge_agg_bigint with valid k parameter ranges	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_merge_agg_bigint
Configure kll_merge_agg_double with supported k values	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_merge_agg_double
Apply kll_merge_agg_float using k range constraints	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_merge_agg_float
Tune kll_sketch_agg_bigint accuracy with k limits	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_sketch_agg_bigint
Configure kll_sketch_agg_double with default k and range	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_sketch_agg_double
Control kll_sketch_agg_float size via k parameter limits	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/kll_sketch_agg_float
Azure Databricks Git folders and Repos limits	https://learn.microsoft.com/en-us/azure/databricks/release-notes/product/2024/september
Databricks Git folders limits and constraints	https://learn.microsoft.com/en-us/azure/databricks/repos/limits
Review Azure Databricks resource and API limits	https://learn.microsoft.com/en-us/azure/databricks/resources/limits
Monitor Unity Catalog resource quota usage via APIs	https://learn.microsoft.com/en-us/azure/databricks/resources/manage-resource-quotas
Use ARRAY data type in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/array-type
Use BIGINT data type in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/bigint-type
Use Databricks SQL BINARY type and limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/binary-type
Use Databricks SQL BOOLEAN type semantics	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/boolean-type
Work with Databricks SQL DATE type limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/date-type
Configure Databricks DECIMAL precision and scale	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/decimal-type
Use Databricks SQL DOUBLE numeric type	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/double-type
Use Databricks SQL FLOAT numeric type	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/float-type
Use Databricks GEOGRAPHY type and constraints	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/geography-type
Use Databricks GEOMETRY type and constraints	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/geometry-type
Use Databricks SQL INT type limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/int-type
Work with Databricks INTERVAL time types	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/interval-type
Use Databricks SQL MAP type effectively	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/map-type
Understand Databricks VOID (NULL) type behavior	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/null-type
Use Databricks OBJECT type with VARIANT	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/object-type
Use Databricks SQL SMALLINT type limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/smallint-type
Handle special floating point values in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/special-floating-point-values
Use Databricks SQL STRING type and limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/string-type
Use Databricks SQL STRUCT type fields	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/struct-type
Use Databricks TIMESTAMP_NTZ type and support	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/timestamp-ntz-type
Use Databricks TIMESTAMP type with time zones	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/timestamp-type
Use Databricks SQL TINYINT type limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/tinyint-type
Use Databricks VARIANT type for semi-structured data	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/data-types/variant-type
View Delta table history and retention limits	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-describe-history
Use bitmap_construct_agg for dense bitmap aggregation in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/bitmap_construct_agg
Set STATEMENT_TIMEOUT limits in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/statement_timeout
Naming rules and limits in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-names
SHOW TABLES DROPPED retention behavior in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-tables-dropped
Drop Unity Catalog volumes and understand retention	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-volume
Recover dropped tables with Databricks UNDROP	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-undrop-table
Configure high QPS scaling for vector search endpoints	https://learn.microsoft.com/en-us/azure/databricks/vector-search/high-qps

Security

Topic	URL
Monitor and revoke Azure Databricks personal access tokens	https://learn.microsoft.com/en-us/azure/databricks/admin/access-control/tokens
Configure Azure Databricks diagnostic log delivery	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/audit-log-delivery
Reference Azure Databricks diagnostic audit log events	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/audit-logs
Enable admin protection for no-isolation shared clusters	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/no-isolation-shared
Configure and enforce governed tags in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/governed-tags/
Create and manage governed tags across Databricks accounts	https://learn.microsoft.com/en-us/azure/databricks/admin/governed-tags/manage-governed-tags
Configure permissions for Unity Catalog governed tags	https://learn.microsoft.com/en-us/azure/databricks/admin/governed-tags/manage-permissions
Manage identities across Azure Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/
Configure automatic identity sync from Entra ID	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/automatic-identity-management
Understand and use groups in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/groups
Create and manage Databricks account groups	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/manage-groups
Manage service principals in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/manage-service-principals
Configure SCIM-based provisioning to Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/scim/
Set up Entra ID SCIM provisioning for Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/scim/aad
Configure Azure Databricks service principals for secure automation	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/service-principals
Add and manage Azure Databricks users	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/users
Manage legacy workspace-local groups in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/users-groups/workspace-local-groups
Enforce user isolation cluster types in a Databricks workspace	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/enforce-user-isolation
Configure RestrictWorkspaceAdmins setting in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/restrict-workspace-admins
Control Azure Databricks personnel workspace access	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/workspace-access
Enable Microsoft Entra conditional access for Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/azure-admin/conditional-access
Authenticate Databricks to Synapse dedicated SQL pool	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/synapse-analytics-dedicated-pool
Configure legacy credential passthrough in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/credential-passthrough/
Access ADLS with Entra ID credential passthrough	https://learn.microsoft.com/en-us/azure/databricks/archive/credential-passthrough/adls-passthrough
Manage Databricks secrets using legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/secrets-cli
Manage Databricks personal access tokens via CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/tokens-cli
Administer Unity Catalog objects using legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/unity-catalog-cli
Set up ai_generate_text() with Azure OpenAI securely	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/ai-onboard
Interpret Databricks security audit log schemas	https://learn.microsoft.com/en-us/azure/databricks/archive/security/monitor-log-schemas
Access Azure storage from Databricks using Entra service principals	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/aad-storage-service-principal
Configure Delta Lake storage access credentials	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/delta-storage-credentials
Handle Unity Catalog ABAC beta to preview transition	https://learn.microsoft.com/en-us/azure/databricks/archive/unity-catalog/abac-public-preview-transition
Configure Unity Catalog storage with service principals	https://learn.microsoft.com/en-us/azure/databricks/archive/unity-catalog/service-principals
Restrict Unity Catalog catalog access to workspaces	https://learn.microsoft.com/en-us/azure/databricks/catalogs/binding
Understand Databricks Lakeguard isolation and governance	https://learn.microsoft.com/en-us/azure/databricks/compute/lakeguard
Configure fine-grained access control on Azure Databricks dedicated compute	https://learn.microsoft.com/en-us/azure/databricks/compute/single-user-fgac
Configure Lakeflow Connect connections for managed ingestion	https://learn.microsoft.com/en-us/azure/databricks/connect/managed-ingestion
Govern external cloud service access with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-services/
Create Unity Catalog service credentials for external services	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-services/service-credentials
Use Azure managed identities with Unity Catalog storage	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/azure-managed-identities
Securely embed Databricks dashboards for external users	https://learn.microsoft.com/en-us/azure/databricks/dashboards/share/embedding/external-embed
Control dashboard permissions via Workspace API	https://learn.microsoft.com/en-us/azure/databricks/dashboards/tutorials/manage-permissions
Configure Hive metastore table ACLs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/table-acls/
Understand and configure the ANY FILE securable	https://learn.microsoft.com/en-us/azure/databricks/data-governance/table-acls/any-file
Manage Hive metastore privileges and securable objects	https://learn.microsoft.com/en-us/azure/databricks/data-governance/table-acls/object-privileges
Enable Hive metastore table access control on clusters	https://learn.microsoft.com/en-us/azure/databricks/data-governance/table-acls/table-acl
Use attribute-based access control in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/abac/
Create and manage Unity Catalog ABAC policies	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/abac/policies
Tutorial: Configure ABAC row filters and column masks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/abac/tutorial
Understand Unity Catalog access control and policies	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/access-control
Learn Unity Catalog permissions model and inheritance	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/access-control/permissions-concepts
Apply row filters and column masks with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/filters-and-masks/
Manually configure Unity Catalog row filters and column masks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/filters-and-masks/manually-apply
Manage Unity Catalog privileges and data access	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/
Configure and route Unity Catalog access requests	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/access-request-destinations
Understand admin privileges for Unity Catalog management	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/admin-privileges
Configure Unity Catalog allowlist for standard compute libraries	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/allowlist
Manage ownership of Unity Catalog securable objects	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/ownership
Reference Unity Catalog securable objects and privileges	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/privileges
Configure alerts on anomaly detection results in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/anomaly-detection/alerts
Access anomaly detection results in Databricks system tables	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/anomaly-detection/results
Choose secure data and AI sharing options in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-sharing/
Tag Unity Catalog securable objects for governance	https://learn.microsoft.com/en-us/azure/databricks/database-objects/tags
Understand trust and safety for Databricks AI assistive features	https://learn.microsoft.com/en-us/azure/databricks/databricks-ai/databricks-ai-trust
Configure partner-powered AI features and compliance behavior	https://learn.microsoft.com/en-us/azure/databricks/databricks-ai/partner-powered
Disable DBFS root and mounts for Unity Catalog governance	https://learn.microsoft.com/en-us/azure/databricks/dbfs/disable-dbfs-root-mounts
Understand Delta Sharing security model in Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/
Create and manage Delta Sharing recipients in Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/create-recipient
Configure OIDC federation for Delta Sharing providers	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/create-recipient-oidc-fed
Create bearer-token recipients for Delta Sharing open sharing	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/create-recipient-token
Create and manage Delta Sharing shares in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/create-share
Grant, update, and revoke access to Delta Sharing shares	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/grant-access
Access Databricks-to-Databricks Delta Sharing data as recipient	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/read-data-databricks
Read Delta Sharing open data using bearer token credentials	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/read-data-open
Access Delta Sharing data as a Databricks or external recipient	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/recipient
Set up Delta Sharing providers in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/set-up
Share data via Databricks-to-Databricks Delta Sharing	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/share-data-databricks
Share data using Delta Sharing open protocol	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/share-data-open
Access Delta Sharing via M2M OIDC federation with Python	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/sharing-over-oidc-m2m
Access Delta Sharing via U2M OIDC federation tools	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/sharing-over-oidc-u2m
Configure authorization for Databricks CLI and REST APIs	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/
Manually generate Microsoft Entra tokens for Databricks APIs	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/aad-token-manual
Authenticate Azure Databricks using Azure CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-cli
Sign in to Azure Databricks with Azure CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-cli-login
Authenticate Azure Databricks with managed identities	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-mi
Set up Azure managed identities for Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-mi-auth
Authenticate Azure Databricks with Azure PowerShell	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-powershell-login
Use Microsoft Entra service principals with Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/azure-sp
Call Databricks REST APIs with federated IdP tokens	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/oauth-federation-exchange
Create and configure Databricks OAuth federation policies	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/oauth-federation-policy
Enable workload identity federation for Databricks CI/CD	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/oauth-federation-provider
Authorize Databricks service principals with OAuth	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/oauth-m2m
Authorize user access to Databricks APIs with OAuth	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/oauth-u2m
Configure workload identity federation for Azure DevOps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/provider-azure-devops
Configure workload identity federation for CircleCI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/provider-circleci
Configure workload identity federation for GitHub Actions	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/provider-github
Configure workload identity federation for GitLab CI/CD	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/provider-gitlab
Enable workload identity federation for Terraform Cloud and others	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/provider-other
Use service principals for Databricks CI/CD access	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/service-principals
Understand and configure Databricks unified authentication	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/unified-auth
Configure authentication for Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/authentication
Configure permissions for Databricks Asset Bundle resources	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/permissions
Set run identity for Databricks bundle workflows	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/run-as
Configure authentication between Databricks CLI and workspaces	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/authentication
Manage Databricks account access control via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-access-control-commands
Configure custom OAuth app integrations in Databricks via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-custom-app-integration-commands
Manage Databricks workspace encryption keys with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-encryption-keys-commands
Configure Databricks account federation policies via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-federation-policy-commands
Manage Databricks account groups using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-groups-commands
Configure Databricks account IP access lists via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-ip-access-lists-commands
Manage Databricks account network policies using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-network-policies-commands
View published OAuth apps in Databricks with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-o-auth-published-apps-commands
Configure Databricks account private access settings via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-private-access-commands
Manage published OAuth app integrations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-published-app-integration-commands
Manage service principal federation policies in Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-service-principal-federation-policy-commands
Manage Databricks service principal secrets via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-service-principal-secrets-commands
Manage Databricks account service principals with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-service-principals-commands
Manage Databricks workspace assignments via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-workspace-assignment-commands
Manage Unity Catalog artifact allowlists via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/artifact-allowlists-commands
Configure Databricks CLI authentication (OAuth, tokens)	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/auth-commands
Control Databricks cluster policies via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/cluster-policies-commands
Configure Databricks CLI authentication profiles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/configure-commands
Manage Unity Catalog credentials via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/credentials-commands
Manage Unity Catalog grants via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/grants-commands
Manage Databricks workspace groups with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/groups-commands
Manage Databricks instance profiles using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/instance-profiles-commands
Configure IP access lists with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/ip-access-lists-commands
Manage Databricks object permissions via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/permissions-commands
View cluster policy compliance via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/policy-compliance-for-clusters-commands
Check job policy compliance with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/policy-compliance-for-jobs-commands
Inspect Databricks policy families via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/policy-families-commands
Manage marketplace exchange filters via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-exchange-filters-commands
Manage Databricks secrets and scopes via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/secrets-commands
Manage Databricks service principals with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/service-principals-commands
Manage Unity Catalog storage credentials via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/storage-credentials-commands
Generate temporary path credentials via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/temporary-path-credentials-commands
Generate temporary table credentials via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/temporary-table-credentials-commands
Administer Databricks tokens with token-management CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/token-management-commands
Create and revoke Databricks tokens via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/tokens-commands
Manage Databricks workspace users using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/users-commands
Configure Unity Catalog workspace bindings via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/workspace-bindings-commands
Configure OAuth-based authorization for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/auth
Configure token-based API access for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/connect-local
Configure logging and monitoring for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/monitor
Configure secure networking for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/networking
Manage Databricks app permissions and access control	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/permissions
Use Databricks secrets as secure app resources	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/secrets
Provision Databricks service principals using Terraform	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/service-principals
Configure OAuth-based auth for Databricks VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/authentication
Enable secure external access to Unity Catalog data	https://learn.microsoft.com/en-us/azure/databricks/external-access/admin
Configure Unity Catalog credential vending for external engines	https://learn.microsoft.com/en-us/azure/databricks/external-access/credential-vending
Configure authentication for Databricks App-based AI agents	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/agent-authentication
Configure authentication for Model Serving-based AI agents	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/agent-authentication-model-serving
Authenticate external clients to Databricks MCP servers	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/mcp/connect-external-services
Securely connect Databricks to external MCP servers	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/mcp/external-mcp
Govern and operate RAG applications with Databricks LLMOps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/fundamentals-governance-llmops
Create Databricks tables and grant Unity Catalog privileges	https://learn.microsoft.com/en-us/azure/databricks/getting-started/create-table
Configure secure ADLS data access for ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/configure-data-access
Generate temporary ADLS credentials for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/generate-temporary-credentials
Configure Azure SQL Database firewall for Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/azure-sql-db-firewall
Configure OAuth U2M security for Confluence ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/confluence-source-setup
Configure Dynamics 365 source and authentication for ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/d365-source-setup
Configure OAuth 2.0 for Google Ads ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-ads-source-setup
Set up GA4 and BigQuery for secure Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-analytics-source-setup
Configure OAuth security for HubSpot ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/hubspot-source-setup
Configure OAuth 2.0 for Jira data ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/jira-source-setup
Set up Meta Ads as a secure data source	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/meta-ads-source-setup
Grant required MySQL privileges for ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-privileges
Configure NetSuite token-based auth for ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/netsuite-source-setup
Grant PostgreSQL replication user privileges for Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/postgresql-privileges
Configure OAuth M2M authentication for SharePoint ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-source-setup-m2m
Understand SharePoint ingestion authentication options	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-source-setup-overview
Configure manual token refresh for SharePoint ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-source-setup-refresh-token
Configure OAuth U2M for SharePoint ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-source-setup-u2m
Assign SQL Server database privileges for ingestion user	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-privileges
Configure OAuth-based sign-on from partner solutions	https://learn.microsoft.com/en-us/azure/databricks/integrations/configuration
Configure dbt Core SSO to Databricks with Entra ID	https://learn.microsoft.com/en-us/azure/databricks/integrations/configure-oauth-dbt
Configure Tableau Server OAuth sign-on to Databricks	https://learn.microsoft.com/en-us/azure/databricks/integrations/configure-oauth-tableau
Enable or disable partner OAuth apps in Databricks	https://learn.microsoft.com/en-us/azure/databricks/integrations/enable-disable-oauth
Override OAuth token lifetimes for partner apps	https://learn.microsoft.com/en-us/azure/databricks/integrations/manage-oauth
Configure authentication for Databricks ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/authentication
Configure single-use refresh tokens for Databricks OAuth	https://learn.microsoft.com/en-us/azure/databricks/integrations/single-use-tokens
Run Lakeflow Jobs with Microsoft Entra service principals	https://learn.microsoft.com/en-us/azure/databricks/jobs/how-to/run-jobs-with-service-principals
Manage identities and permissions for Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/privileges
Architect security, compliance, and privacy for Databricks	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/security-compliance-and-privacy/
Apply Databricks security and compliance best practices	https://learn.microsoft.com/en-us/azure/databricks/lakehouse-architecture/security-compliance-and-privacy/best-practices
Manage identities and permissions for pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/privileges
Use Unity Catalog security with pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/unity-catalog
Configure authentication for third-party online feature stores	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/fs-authentication
Governance and lineage for Databricks feature tables	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/lineage
Configure access control for Databricks feature tables	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/workspace-feature-store/access-control
Compliance and security profiles for Databricks Foundation Model APIs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/compliance
Manage ML models in Unity Catalog securely	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/
Implement OpenAI high-risk use case mitigations on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/open-ai-mitigation-requirements
Configure secure resource access from Databricks model serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/store-env-variable-model-serving
Configure authentication and permissions for Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/auth-and-permissions
Authenticate to Lakebase instances using OAuth	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/authentication
Grant and manage Lakebase instance permissions	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/manage-privileges
Create and manage PostgreSQL roles for Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/pg-roles
Understand pre-created Lakebase roles and permissions	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/roles
Configure authentication for Lakebase Postgres connections	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/authentication
Configure Lakebase Postgres data protection features	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/data-protection
Grant Lakebase project and database access to users	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/grant-user-access-tutorial
Configure Lakebase project permissions and access	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-project-permissions
Configure Postgres roles in Lakebase projects	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-roles
Grant and manage database permissions in Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-roles-permissions
Create and manage Postgres roles in Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/postgres-roles
Set up protected branches in Lakebase Postgres	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/protected-branches
Manage Lakebase Postgres roles and permissions	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/roles-permissions
Securely connect Databricks Apps to Lakebase Autoscaling	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/tutorial-databricks-apps-autoscaling
Administer Partner Connect users, tokens, and principals	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/admin
Configure Databricks service principals for Power BI M2M OAuth	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/power-bi-m2m
Use aes_decrypt for secure decryption in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/aes_decrypt
Configure aes_encrypt for secure encryption in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/aes_encrypt
Configure Snowflake federation using built-in OAuth	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake
Use basic authentication for Snowflake federated queries	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-basic-auth
Use Microsoft Entra ID for Snowflake federation auth	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-entra
Authenticate Snowflake federation with OAuth access tokens	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-oauth-access-token
Use Okta OAuth for Snowflake federated queries	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-okta
Authenticate Snowflake federation with PEM private keys	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-pem
Configure Entra ID auth for SQL Server federation	https://learn.microsoft.com/en-us/azure/databricks/query-federation/sql-server-entra
Manage account identities with SCIM v2.1 API	https://learn.microsoft.com/en-us/azure/databricks/reference/scim-2-1
Configure Microsoft Entra service principals for Git folders	https://learn.microsoft.com/en-us/azure/databricks/repos/automate-with-ms-entra
Authorize Databricks service principals for Git folders	https://learn.microsoft.com/en-us/azure/databricks/repos/automate-with-sp
Configure Git authentication for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/repos/get-access-tokens-from-git-provider
Manage Databricks access control lists for workspace objects	https://learn.microsoft.com/en-us/azure/databricks/security/auth/access-control/
Assign roles and ACLs for Databricks service principals	https://learn.microsoft.com/en-us/azure/databricks/security/auth/access-control/service-principal-acl
Configure permissions for Databricks personal access tokens	https://learn.microsoft.com/en-us/azure/databricks/security/auth/api-access-permissions
Change default workspace access to consumer-only in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/auth/change-default-workspace-access
Understand default Azure Databricks workspace permissions	https://learn.microsoft.com/en-us/azure/databricks/security/auth/default-permissions
Manage Databricks user and group entitlements	https://learn.microsoft.com/en-us/azure/databricks/security/auth/entitlements
Configure just-in-time user provisioning in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/auth/jit
Configure customer-managed keys for Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmek-unity-catalog
Plan customer-managed keys for Azure Databricks managed disks	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-disks-azure/
Configure HSM-backed customer-managed keys for managed disks	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-disks-azure/cmk-hsm-managed-disks-azure
Configure customer-managed keys for Databricks managed disks	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-disks-azure/cmk-managed-disks-azure
Plan customer-managed keys for Databricks managed services data	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-services-azure/
Enable HSM customer-managed keys for Databricks managed services	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-services-azure/cmk-hsm-managed-services-azure
Enable customer-managed keys for Databricks managed services	https://learn.microsoft.com/en-us/azure/databricks/security/keys/cmk-managed-services-azure/customer-managed-key-managed-services-azure
Plan customer-managed keys for DBFS root encryption	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/
Configure DBFS customer-managed keys using Azure CLI	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-dbfs-azure-cli
Configure DBFS customer-managed keys using Azure portal	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-dbfs-azure-portal
Configure DBFS customer-managed keys using PowerShell	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-dbfs-powershell
Configure HSM-backed DBFS customer-managed keys via CLI	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-hsm-dbfs-azure-cli
Configure HSM-backed DBFS customer-managed keys via portal	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-hsm-dbfs-azure-portal
Configure HSM-backed DBFS customer-managed keys via PowerShell	https://learn.microsoft.com/en-us/azure/databricks/security/keys/customer-managed-keys-dbfs/cmk-hsm-dbfs-powershell
Configure double encryption for Databricks DBFS root	https://learn.microsoft.com/en-us/azure/databricks/security/keys/double-encryption
Encrypt on-the-wire traffic between Databricks cluster nodes	https://learn.microsoft.com/en-us/azure/databricks/security/keys/encrypt-otw
Understand credential redaction behavior in Databricks logs	https://learn.microsoft.com/en-us/azure/databricks/security/keys/redaction
Encrypt Databricks SQL queries, history, and results	https://learn.microsoft.com/en-us/azure/databricks/security/keys/sql-encryption
Secure classic compute plane networking in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/
Connect Azure Databricks to on-premises networks securely	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/on-prem-network
Configure classic compute Private Link to Databricks control plane	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/private-link-standard
Enable secure cluster connectivity with no public IPs	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/secure-cluster-connectivity
Configure service endpoint policies for Databricks classic compute	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/service-endpoints
Configure user-defined routes for Azure Databricks VNets	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/udr
Configure VNet peering for Azure Databricks networks	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/vnet-peering
Configure context-based network policies for Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/context-based-policies
Secure user access to Azure Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/
Configure inbound Private Link to Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/front-end-private-connect
Manage IP access lists for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/ip-access-list
Configure IP access lists for Databricks account console	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/ip-access-list-account
Configure workspace IP access lists using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/ip-access-list-workspace
Manage context-based ingress policies for Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/manage-ingress-policies
Set up high-performance inbound Private Link for Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/front-end/service-direct-privatelink
Secure serverless compute plane networking in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/
Configure network policies for Databricks serverless egress	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/manage-network-policies
Manage serverless private endpoint rules for Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/manage-private-endpoint-rules
Understand and plan serverless egress control in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/network-policies
Connect Databricks serverless compute privately to VNets	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/pl-to-internal-network
Configure storage firewall for Databricks serverless compute	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/serverless-firewall
Secure Databricks serverless access with Azure NSP	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/serverless-nsp-firewall
Configure Private Link from serverless compute to Azure services	https://learn.microsoft.com/en-us/azure/databricks/security/network/serverless-network-security/serverless-private-link
Enable firewall support for Databricks workspace storage account	https://learn.microsoft.com/en-us/azure/databricks/security/network/storage/firewall-support
Apply C5 compliance controls in Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/c5
Configure Canada Protected B controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/cccs-medium-protected-b
Configure enhanced security and compliance in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/enhanced-security-compliance
Set up Databricks enhanced security monitoring	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/enhanced-security-monitoring
Prepare Databricks Delta data for GDPR/CCPA	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/gdpr-delta
Implement HIPAA compliance controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/hipaa
Use HITRUST compliance controls on Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/hitrust
Configure IRAP compliance controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/irap
Apply ISMAP compliance controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/ismap
Configure K-FSI compliance controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/k-fsi
Enable PCI DSS v4.0 controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/pci
Configure Databricks compliance security profile features	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/security-profile
Configure TISAX compliance controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/tisax
Apply UK Cyber Essentials Plus controls in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/privacy/uk-cyber-essentials-plus
Use aes_decrypt for AES decryption in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/aes_decrypt
Use aes_encrypt for AES encryption in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/aes_encrypt
Check account-level group membership with is_account_group_member	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/is_account_group_member
Evaluate workspace and account group membership with is_member	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/is_member
List Databricks secret scopes with list_secrets in SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/list_secrets
Retrieve Databricks secrets with the secret SQL function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/secret
Get current Databricks session user with session_user	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/session_user
Compute SHA1 hashes with sha in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sha
Compute SHA1 hashes with sha1 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sha1
Use sha2 for SHA-2 checksums in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sha2
List catalog privileges with INFORMATION_SCHEMA.CATALOG_PRIVILEGES	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/catalog_privileges
Inspect column masking policies via COLUMN_MASKS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/column_masks
View connection privileges with INFORMATION_SCHEMA.CONNECTION_PRIVILEGES	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/connection_privileges
View external location privileges via EXTERNAL_LOCATION_PRIVILEGES	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/external_location_privileges
List metastore privileges via METASTORE_PRIVILEGES	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/metastore_privileges
View RECIPIENT_ALLOWED_IP_RANGES for data shares	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/recipient_allowed_ip_ranges
Manage RECIPIENT_TOKENS metadata for sharing	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/recipient_tokens
Inspect ROUTINE_PRIVILEGES for Unity Catalog routines	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/routine_privileges
Use ROW_FILTERS metadata for row-level security	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/row_filters
List SCHEMA_PRIVILEGES in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/schema_privileges
Inspect SHARE_RECIPIENT_PRIVILEGES for data shares	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/share_recipient_privileges
List STORAGE_CREDENTIAL_PRIVILEGES in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/storage_credential_privileges
Query TABLE_PRIVILEGES for Unity Catalog tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/table_privileges
List VOLUME_PRIVILEGES for Unity Catalog volumes	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/volume_privileges
Alter workspace-local groups with SQL security commands	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-alter-group
Create workspace-local groups using Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-create-group
Use DENY to manage Databricks SQL privileges	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-deny
Drop workspace-local groups in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-drop-group
Grant privileges on Databricks securable objects	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-grant
Grant access to Unity Catalog shares	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-grant-share
Repair residual privileges with MSCK REPAIR PRIVILEGES	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-msck
Revoke privileges on Databricks securable objects	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-revoke
Revoke access to Unity Catalog shares	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-revoke-share
Show effective grants on Databricks securable objects	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-show-grant
List recipients with access to a Databricks share	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-show-grant-on-share
List shares accessible to a Databricks recipient	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/security-show-grant-to-recipient
Configure Unity Catalog external locations securely	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-external-locations
Manage Unity Catalog external tables and access	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-external-tables
Use IDENTIFIER clause for safe SQL parameterization	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-names-identifier-clause
Use parameter markers securely in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-parameter-marker
Understand principals for Databricks SQL security model	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-principal
Manage Unity Catalog privileges and securable objects	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-privileges
Manage Hive metastore privileges in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-privileges-hms
Securely share data with Delta Sharing in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-sharing
Configure Unity Catalog storage credentials and access	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-storage-credentials
Describe row filter and column mask policies	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-policy
Show Unity Catalog credentials in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-credentials
Show groups and memberships in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-groups
Show effective policies on Databricks securables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-policies
Configure column masks for fine-grained access in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-column-mask
Create row filter and column mask policies in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-policy
Use REFRESH FOREIGN for Unity Catalog metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-refresh-foreign
Apply row filters for data access control in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-row-filter
Set Unity Catalog tags with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-set-tag
Unset Unity Catalog tags with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-unset-tag
Use Unity Catalog volumes for governed file storage	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-volumes
Access task context and identity inside UDFs	https://learn.microsoft.com/en-us/azure/databricks/udf/udf-task-context
Define and govern UDFs in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/udf/unity-catalog
Understand Unity Catalog view types and access requirements	https://learn.microsoft.com/en-us/azure/databricks/views/
Implement Unity Catalog dynamic views for fine-grained access	https://learn.microsoft.com/en-us/azure/databricks/views/dynamic
Configure Unity Catalog volume privileges and permissions	https://learn.microsoft.com/en-us/azure/databricks/volumes/privileges

Configuration

Topic	URL
Configure Azure Databricks account-level settings	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/
Disable legacy Databricks features for new workspaces	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/legacy-features
Configure verbose audit logging in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/account-settings/verbose-logs
Configure automatic cluster update maintenance windows	https://learn.microsoft.com/en-us/azure/databricks/admin/clusters/automatic-cluster-update
Configure and manage the Personal Compute policy	https://learn.microsoft.com/en-us/azure/databricks/admin/clusters/personal-compute
Author Databricks compute policy JSON definitions	https://learn.microsoft.com/en-us/azure/databricks/admin/clusters/policy-definition
Enable and manage the Azure Databricks web terminal	https://learn.microsoft.com/en-us/azure/databricks/admin/clusters/web-terminal
Configure SQL warehouse admin settings in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/sql/
Configure legacy SQL warehouse data access	https://learn.microsoft.com/en-us/azure/databricks/admin/sql/data-access-configuration
Enable and manage serverless SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/admin/sql/serverless
Enable and access Azure Databricks system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/
Monitor Databricks Assistant usage via system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/assistant
Use audit log system table schema and queries	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/audit-logs
Query billable usage via system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/billing
Track clean room events with system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/clean-rooms
Monitor compute with Databricks compute system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/compute
Use data classification results system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/data-classification
Monitor data quality via system table results	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/data-quality-monitoring
Use lakeflow jobs system tables for monitoring	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/jobs
Query table and column lineage system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/lineage
Use Marketplace system tables for provider analytics	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/marketplace
Analyze Delta Sharing materialization history table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/materialization
Query MLflow experiment metadata via system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/mlflow
Use network access events system table for monitoring	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/network
Analyze predictive optimization history system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/predictive-optimization
Analyze SKU pricing with Databricks pricing table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/pricing
Query SQL query history via system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/query-history
Track SQL warehouse events with system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/warehouse-events
Monitor SQL warehouses via warehouses system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/warehouses
Monitor workspaces using workspaces system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/workspaces
Monitor Zerobus Ingest activity with system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/zerobus-ingest
Configure serverless budget policies for cost attribution	https://learn.microsoft.com/en-us/azure/databricks/admin/usage/budget-policies
Configure Azure Databricks workspace appearance options	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/appearance
Manage serverless base environments for notebooks and jobs	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/base-environment
Manage DBFS visual file browser access in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/dbfs-browser
Set default access mode for Databricks jobs compute	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/default-access-mode
Configure default Python package repositories in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/default-python-packages
Auto-enable deletion vectors for new Delta tables	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/deletion-vectors
Disable the upload data UI in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/disable-upload-data-ui
Configure email notification settings for Databricks workspaces	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/email
Manage Azure Databricks preview feature enrollment	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/manage-previews
Configure notebook result storage locations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/notebook-results
Control user access to Databricks notebook features	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/notebooks
Configure webhook notification destinations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/notification-destinations
Purge deleted workspace storage objects in Databricks	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace-settings/storage
Change Azure Databricks workspace storage redundancy	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/workspace-storage-redundancy
Administer AI/BI sharing and access controls	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/
Monitor Genie space activity with audit logs and alerts	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/audit
Administer embedding options for AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/embed
Configure workspace themes for AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/themes
Configure and manage Azure Databricks AI Gateway	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/
Configure AI Gateway on Databricks model endpoints	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/configure-ai-gateway-endpoints
Configure Azure Databricks AI Gateway endpoints (Beta)	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/configure-endpoints-beta
Enable AI Gateway inference tables for served models	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/inference-tables
Configure and use AI Gateway inference tables	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/inference-tables-beta
Monitor Azure Databricks AI Gateway usage with system tables	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/usage-tracking-beta
Understand Databricks cluster UI and access modes	https://learn.microsoft.com/en-us/azure/databricks/archive/compute/cluster-ui-preview
Configure legacy Azure Databricks cluster settings	https://learn.microsoft.com/en-us/azure/databricks/archive/compute/configure
Enable SQL Server CDC for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/sql-server-cdc
Enable SQL Server change tracking for Databricks connector	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/sql-server-ct
Configure SQL Server DDL capture for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/sql-server-ddl-legacy
Install and configure legacy Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/
Manage Databricks cluster policies via legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/cluster-policies-cli
Manage Databricks clusters using legacy CLI commands	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/clusters-cli
Use legacy DBFS CLI to manage Databricks file system	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/dbfs-cli
Control Lakeflow Spark Declarative Pipelines via CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/dlt-cli
Manage Databricks groups using legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/groups-cli
Manage Databricks instance pools via legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/instance-pools-cli
Operate Databricks jobs using legacy CLI commands	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/jobs-cli
Manage Databricks libraries with legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/libraries-cli
Manage Databricks Repos using legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/repos-cli
Control Databricks job runs via legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/runs-cli
Deploy Databricks stacks with legacy Stack CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/stack-cli
Manage Databricks workspace objects via legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/cli/workspace-cli
Configure Git folders in Databricks VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/vscode-repos
Select workspace directory in Databricks VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/workspace-dir
Configure external Apache Hive metastore for Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/external-metastores/external-hive-metastore
Use legacy cluster-named init scripts in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/init-scripts/legacy-cluster-named
Migrate from legacy global init scripts in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/init-scripts/legacy-global
Configure legacy Spark Submit tasks in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/archive/jobs/spark-submit
Manage Databricks notebook libraries with %conda (legacy)	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/conda
Drop legacy Delta table features on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/drop-feature-legacy
Use DBFS FileStore for browser-accessible files	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/filestore
Configure Delta UniForm for Iceberg compatibility	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/uniform
Use and manage legacy workspace libraries in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/workspace-libraries
Share Databricks feature tables across workspaces	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/feature-store/multiple-workspaces
Enable optimized LLM serving on Mosaic AI	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/llm-optimized-model-serving
Use legacy DATASKIPPING INDEX in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/archive/spark-3.x-migration/dataskipping-index
Handle dates and timestamps in Databricks Runtime 7+	https://learn.microsoft.com/en-us/azure/databricks/archive/spark-3.x-migration/dates-timestamps
Configure legacy cloud object storage access for Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/connect-storage-index
Configure Databricks Assistant with custom instructions	https://learn.microsoft.com/en-us/azure/databricks/assistant/instructions
Create and optimize Databricks Assistant agent skills	https://learn.microsoft.com/en-us/azure/databricks/assistant/skills
View table relationships with Catalog Explorer ERD	https://learn.microsoft.com/en-us/azure/databricks/catalog-explorer/entity-relationship-diagram
Create Unity Catalog catalogs with SQL and UI	https://learn.microsoft.com/en-us/azure/databricks/catalogs/create-catalog
View, update, and delete Unity Catalog catalogs	https://learn.microsoft.com/en-us/azure/databricks/catalogs/manage-catalog
Configure and access Clean Rooms output tables	https://learn.microsoft.com/en-us/azure/databricks/clean-rooms/output-tables
Add and manage comments on Unity Catalog assets	https://learn.microsoft.com/en-us/azure/databricks/comments/
Use AI-generated comments for Unity Catalog documentation	https://learn.microsoft.com/en-us/azure/databricks/comments/ai-comments
View and interpret Databricks compute metrics in the UI	https://learn.microsoft.com/en-us/azure/databricks/compute/cluster-metrics
Use Databricks compute configuration reference settings	https://learn.microsoft.com/en-us/azure/databricks/compute/configure
Configure custom containers with Databricks Container Services	https://learn.microsoft.com/en-us/azure/databricks/compute/custom-containers
Reference compatible instance groups for flexible node types	https://learn.microsoft.com/en-us/azure/databricks/compute/flexible-node-type-instances
Configure Databricks dedicated compute with group access	https://learn.microsoft.com/en-us/azure/databricks/compute/group-access
Configure Azure Databricks instance pools using UI options	https://learn.microsoft.com/en-us/azure/databricks/compute/pools
Configure and use the Databricks AI environment on serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/databricks-ai-environment
Configure Databricks serverless notebook environment and policies	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/dependencies
Configure and manage Databricks SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/compute/sql-warehouse/create
Use the Azure Databricks web terminal for shell operations	https://learn.microsoft.com/en-us/azure/databricks/compute/web-terminal
Manage Unity Catalog service credentials lifecycle	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-services/manage-service-credentials
Create Unity Catalog external locations for cloud storage	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/external-locations
Connect DBFS root as a Unity Catalog external location	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/external-locations-dbfs-root
Administer Unity Catalog external locations and file events	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/manage-external-locations
Administer Unity Catalog storage credentials	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/manage-storage-credentials
Create Unity Catalog storage credentials for Azure Data Lake	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/storage-credentials
Configure Unity Catalog storage credentials for Cloudflare R2	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/storage-credentials-r2
Create Unity Catalog storage credentials for AWS S3 (read-only)	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-storage/storage-credentials-s3
Configure Genie spaces alongside Databricks dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/genie-spaces
Use Assistant agent to author AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/dashboard-agent
Define custom calculation metrics in dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/data-modeling/custom-calculations/
Reference for custom calculation functions in AI/BI	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/data-modeling/custom-calculations/function-reference
Configure level-of-detail expressions in dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/data-modeling/custom-calculations/level-of-detail
Create and manage AI/BI dashboard datasets	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/data-modeling/datasets
Configure filter types on Databricks dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/filter-types
Configure and apply filters in AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/filters/
Configure field filters on Databricks dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/filters/field-filters
Configure parameters for Databricks AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/filters/parameters
Customize Databricks dashboard themes and locale	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/settings
Configure visualization widgets in AI/BI dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/visualizations/
Configure geographic map visualizations in dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/visualizations/maps
Customize table and pivot visualizations in AI/BI	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/visualizations/tables
Use text widgets for rich content in dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/visualizations/text-widgets
Choose and configure AI/BI dashboard visualization types	https://learn.microsoft.com/en-us/azure/databricks/dashboards/manage/visualizations/types
Query audit logs to monitor dashboard usage	https://learn.microsoft.com/en-us/azure/databricks/dashboards/monitor-usage
Embed Databricks dashboards into external apps	https://learn.microsoft.com/en-us/azure/databricks/dashboards/share/embedding/
Set up basic iframe embedding for dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/share/embedding/basic
Configure scheduled updates and subscriptions for dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/share/schedule-subscribe
Create and link Unity Catalog metastores in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/create-metastore
Configure automatic data classification in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/data-classification
Disable direct Hive metastore access in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/disable-hms
Enable existing Databricks workspaces for Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/enable-workspaces
Initial Unity Catalog setup for Databricks admins	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/get-started
Update Databricks jobs after Unity Catalog upgrade	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/jobs-update
Manage Unity Catalog metastore lifecycle in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-metastore
Upgrade Unity Catalog to privilege inheritance model	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/manage-privileges/upgrade-privilege-model
Migrate Hive metastore tables and views to Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/migrate
Use UCX utilities to automate Unity Catalog migration	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/ucx
Create data profiles with Databricks data profiling API	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/create-monitor-api
Create and configure data profiles using Databricks UI	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/create-monitor-ui
Define custom metrics for Databricks data profiling	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/custom-metrics
Create alerts from data profiling metrics in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/monitor-alerts
Use the Databricks data profiling dashboard	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/monitor-dashboard
Understand data profiling metric tables in Databricks	https://learn.microsoft.com/en-us/azure/databricks/data-quality-monitoring/data-profiling/monitor-output
Measure Databricks Assistant adoption and productivity impact	https://learn.microsoft.com/en-us/azure/databricks/databricks-ai/databricks-assistant-impact
Configure and manage DBFS mounts in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dbfs/mounts
Understand Databricks DBFS root directories and aliases	https://learn.microsoft.com/en-us/azure/databricks/dbfs/root-locations
Configure and interpret Delta Sharing audit logs	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/audit-logs
Enable and use catalog-managed commits for Delta tables	https://learn.microsoft.com/en-us/azure/databricks/delta/catalog-managed-commits
Clone Delta, Parquet, and Iceberg tables in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/clone
Use shallow clone with Unity Catalog tables	https://learn.microsoft.com/en-us/azure/databricks/delta/clone-unity-catalog
Use Delta Lake column mapping for renames and drops	https://learn.microsoft.com/en-us/azure/databricks/delta/column-mapping
Configure and consume Delta Lake change data feed	https://learn.microsoft.com/en-us/azure/databricks/delta/delta-change-data-feed
Drop or replace Delta and Unity Catalog tables safely	https://learn.microsoft.com/en-us/azure/databricks/delta/drop-table
Configure and use Delta Lake generated columns	https://learn.microsoft.com/en-us/azure/databricks/delta/generated-columns
Configure and use row tracking for Delta and Iceberg tables	https://learn.microsoft.com/en-us/azure/databricks/delta/row-tracking
Inspect Delta table metadata with DESCRIBE DETAIL	https://learn.microsoft.com/en-us/azure/databricks/delta/table-details
Reference for Delta and Iceberg table properties on Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/table-properties
Enable and manage type widening for Delta table columns	https://learn.microsoft.com/en-us/azure/databricks/delta/type-widening
Use VARIANT data type for semi-structured data in Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/variant
Configure Azure Databricks authentication profiles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/config-profiles
Reference for Databricks unified auth environment variables	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/env-vars
Example Databricks Asset Bundle configurations for common use cases	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/examples
Define job tasks in Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/job-task-types
Declare library dependencies in Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/library-dependencies
Override Databricks bundle settings per deployment target	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/overrides
Configure Python wheel builds in Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/python-wheel
Configure Databricks Asset Bundles using Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/python/
Reference for databricks.yml bundle configuration keys	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/reference
Configure Databricks Asset Bundles resource definitions	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/resources
Configure Scala JAR deployment with Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/scala-jar
Author Databricks Asset Bundle configuration files	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/settings
Share configuration across Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/sharing
Create custom Databricks Asset Bundle templates	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/template-tutorial
Use Databricks Asset Bundle project templates	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/templates
Use substitutions and variables in Databricks bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/variables
Manage Databricks Asset Bundle lifecycle and configuration	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/work-tasks
Use configuration profiles with the Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/profiles
Configure Databricks account budget policies via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-budget-policy-commands
Manage Databricks account budgets using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-budgets-commands
Manage Databricks account log delivery with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-log-delivery-commands
Assign Unity Catalog metastores to workspaces via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-metastore-assignments-commands
Manage Unity Catalog metastores for Databricks accounts	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-metastores-commands
Configure Databricks workspace network connectivity via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-network-connectivity-commands
Configure customer-managed VPC networks for Databricks via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-networks-commands
Use Databricks CLI account settings commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-settings-commands
Manage Databricks account storage via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-storage-commands
Configure Databricks account storage credentials	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-storage-credentials-commands
Manage Databricks account usage dashboards	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-usage-dashboards-commands
Manage Databricks account users with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-users-commands
Configure Databricks account VPC endpoints	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-vpc-endpoints-commands
Configure Databricks workspace network policies	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-workspace-network-configuration-commands
Manage Databricks workspaces using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-workspaces-commands
Manage Databricks SQL alerts via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/alerts-commands
Use deprecated Databricks alerts-legacy CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/alerts-legacy-commands
Manage Databricks Apps using CLI commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/apps-commands
Manage Unity Catalog catalogs via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/catalogs-commands
Manage clean room asset revisions with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clean-room-asset-revisions-commands
Manage Databricks clean room assets via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clean-room-assets-commands
Configure clean room auto-approval rules via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clean-room-auto-approval-rules-commands
Manage clean room task runs using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clean-room-task-runs-commands
Manage Databricks clean rooms with CLI commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clean-rooms-commands
Create and manage Databricks clusters with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/clusters-commands
Enable Databricks CLI shell autocompletion	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/completion-commands
Manage Databricks Marketplace consumer fulfillments	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/consumer-fulfillments-commands
Manage Databricks Marketplace consumer installations	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/consumer-installations-commands
Manage Databricks Marketplace consumer listings via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/consumer-listings-commands
Manage Marketplace personalization requests via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/consumer-personalization-requests-commands
Interact with Databricks Marketplace providers via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/consumer-providers-commands
Retrieve current Databricks user via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/current-user-commands
Manage legacy Databricks dashboards with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/dashboards-commands
Manage Unity Catalog data quality via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/data-quality-commands
Use deprecated data-sources CLI for SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/data-sources-commands
Manage Databricks database instances with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/database-commands
Assign tags to Unity Catalog entities via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/entity-tag-assignments-commands
Manage MLflow experiments on Databricks via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/experiments-commands
Manage global init scripts with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/global-init-scripts-commands
Configure workspace-level settings using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/settings-commands
Update advanced Databricks workspace configuration via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/workspace-conf-commands
Manage workspace entity tag assignments via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/workspace-entity-tag-assignments-commands
Configure Databricks app runtime with app.yaml	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/app-runtime
Configure Databricks app templates and access model	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/configuration
Set up workspace and local environment for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/configure-env
Configure environment variables for Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/environment-variables
Use X-Forwarded HTTP headers in Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/http-headers
Review Databricks Apps system environment and variables	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/system-env
Configure legacy Databricks Connect for Runtime 12.2 and below	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect-legacy
Configure Azure Databricks compute for Databricks Connect	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/cluster-config
Install and configure Databricks Connect for Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/install
Install and configure Databricks Connect for Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/install
Use Databricks Utilities (dbutils) for environment management	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-utils
Use Databricks VS Code Command Palette commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/command-palette
Configure Databricks projects in the VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/configure
Install and initialize the Databricks VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/install
Configure settings for Databricks VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/settings
Explore Unity Catalog database objects with Catalog Explorer	https://learn.microsoft.com/en-us/azure/databricks/discover/database-objects
Explore Unity Catalog volumes and storage paths	https://learn.microsoft.com/en-us/azure/databricks/discover/files
Use Catalog Explorer insights to analyze table usage	https://learn.microsoft.com/en-us/azure/databricks/discover/table-insights
Configure file access options in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/files/
Understand Databricks default current working directory behavior	https://learn.microsoft.com/en-us/azure/databricks/files/cwd-dbr-14
Configure and manage Azure Databricks workspace files	https://learn.microsoft.com/en-us/azure/databricks/files/workspace
Programmatically manage Databricks workspace files	https://learn.microsoft.com/en-us/azure/databricks/files/workspace-interact
Identify default data write locations in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/files/write-data
Understand MLflow 2 Agent Evaluation input schema	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/evaluation-schema
Reference for built-in MLflow 2 AI judges	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-evaluation/llm-judge-reference
Migrate from legacy AI agent input/output schemas	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/agent-legacy-schema
Replace deprecated feedback model for Databricks agents	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/feedback-model
Log and register AI agents with Model Serving	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/log-agent
Migrate from deprecated agent request and assessment logs	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/request-assessment-logs
Configure _meta parameters for Databricks MCP servers	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/mcp/managed-mcp-meta-param
Access Unity Catalog generative AI and LLM models	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/pretrained-models
Set up infrastructure to measure RAG quality on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/evaluate-enable-measurement
Use Agent mode for multi-step Genie analysis	https://learn.microsoft.com/en-us/azure/databricks/genie/agent-mode
Upload and analyze files in Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/file-upload
Configure Genie knowledge stores and prompt matching	https://learn.microsoft.com/en-us/azure/databricks/genie/knowledge-store
Use parameters in Genie example SQL queries	https://learn.microsoft.com/en-us/azure/databricks/genie/query-params
Set up and manage Databricks Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/set-up
Configure trusted assets for Genie spaces	https://learn.microsoft.com/en-us/azure/databricks/genie/trusted-assets
Configure and use Apache Iceberg v3 features in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/iceberg/iceberg-v3
Configure Auto Loader directory listing mode streams	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/directory-listing-mode
Configure Auto Loader file-notification streaming mode	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/file-notification-mode
Reference Auto Loader cloudFiles configuration options	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/options
Configure Auto Loader schema inference and evolution	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/schema
Use the _metadata file metadata column in Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/file-metadata-column
Configure Lakeflow Connect column selection options	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/column-selection
Use Confluence connector reference for schemas and mapping	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/confluence-reference
Reference Dynamics 365 connector authentication and parameters	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/d365-reference
Use Lakeflow Connect gateway event logs for monitoring	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/gateway-event-logs
Use Google Ads connector schema and data type reference	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-ads-reference
Create Google Analytics raw data ingestion pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-analytics-pipeline
Use Databricks Google Analytics connector reference	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-analytics-reference
Reference supported HubSpot tables and update patterns	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/hubspot-reference
Use Jira connector reference for scopes and tables	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/jira-reference
Reference Meta Ads connector objects and mappings	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/meta-ads-reference
Query system.billing.usage to monitor ingestion costs	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/monitor-costs
Configure multi-destination Lakeflow Connect pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/multi-destination-pipeline
Configure Amazon RDS/Aurora MySQL for Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-aws-rds-config
Configure Azure Database for MySQL binlog ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-azure-config
Configure MySQL on EC2 for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-ec2-config
Configure Cloud SQL for MySQL for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-gcp-config
Use MySQL connector reference for types and DDL	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-reference
Configure MySQL source for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-source-setup
Prepare MySQL using Databricks utility objects script	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/mysql-utility-script
Reference NetSuite connector sources and mappings	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/netsuite-reference
Apply and manage tags on ingestion pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/pipeline-tags
Use PostgreSQL connector reference for types and objects	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/postgresql-reference
Configure PostgreSQL source for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/postgresql-source-setup
Configure row filtering for Lakeflow Connect ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/row-filtering
Use Salesforce connector reference for types and objects	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/salesforce-reference
Configure SCD type 1 and 2 history tracking	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/scd
Use ServiceNow connector reference for data types	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-reference
Configure ServiceNow instance for Databricks ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-source-setup
Use SharePoint connector reference for ingestion behavior	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-reference
Use SQL Server connector reference for types and objects	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-reference
Preview SQL Server source setup tasks for ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-source-setup
Prepare SQL Server using utility objects script	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-utility
Reference SQL Server utility objects script components	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sql-server-utility-reference
Set custom destination table names in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/table-rename
Configure TikTok Ads authentication for Lakeflow Connect	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/tiktok-ads-source-setup
Configure Workday reports for Lakeflow ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/workday-reports-source-setup
Configure Zendesk Support OAuth for Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/zendesk-support-source-setup
Configure cluster-scoped init scripts for Databricks compute	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/cluster-scoped
Set and use environment variables in Databricks init scripts	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/environment-variables
Configure global init scripts across a Databricks workspace	https://learn.microsoft.com/en-us/azure/databricks/init-scripts/global
Configure and connect Azure Databricks Excel Add-in	https://learn.microsoft.com/en-us/azure/databricks/integrations/excel-setup
Configure Databricks JDBC Driver connections	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/configure
Reference Databricks JDBC Driver connection properties	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/properties
Use legacy Simba Databricks JDBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/
Configure connections for legacy Simba JDBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/configure
Configure advanced capabilities for Databricks ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/capability
Configure Databricks compute for ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/compute
Create DSNs for Databricks ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/dsn
Build DSN-less ODBC connection strings for Databricks	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/dsn-less
Configure Clean Room notebook tasks in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/clean-room-notebook
Configure and edit Lakeflow Jobs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/jobs/configure-job
Configure and edit tasks in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/configure-task
Control task flow and dependencies in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/control-flow
Configure dashboard refresh tasks in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/dashboard
Use dynamic value references in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/dynamic-value-references
Trigger Lakeflow Jobs when new files arrive	https://learn.microsoft.com/en-us/azure/databricks/jobs/file-arrival-triggers
Use For each tasks to loop over parameters in jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/for-each
Add If/else branching logic to Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/if-else
Configure JAR tasks for Scala and Java in Databricks	https://learn.microsoft.com/en-us/azure/databricks/jobs/jar
Configure Azure Databricks job parameters via UI and API	https://learn.microsoft.com/en-us/azure/databricks/jobs/job-parameters
Monitor and observe Lakeflow Jobs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/jobs/monitor
Configure notebook tasks in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/notebook
Configure email and webhook notifications for Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/notifications
Configure pipeline tasks for Lakeflow Spark Declarative Pipelines	https://learn.microsoft.com/en-us/azure/databricks/jobs/pipeline
Configure Power BI tasks in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/powerbi
Configure Python script tasks in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/python-script
Configure Python wheel tasks in Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/python-wheel
Configure Run if task dependencies in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/run-if
Configure Run Job tasks and nesting limits in Databricks	https://learn.microsoft.com/en-us/azure/databricks/jobs/run-job
Configure time-based schedules for Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/scheduled
Configure SQL tasks and warehouses for Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/sql
Configure task-level parameters in Azure Databricks jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/task-parameters
Trigger Lakeflow Jobs on source table updates	https://learn.microsoft.com/en-us/azure/databricks/jobs/trigger-table-update
Configure schedules and triggers for Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/triggers
Use Azure Databricks AI Functions in SQL and Python	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/ai-functions
Configure Foundation Model Fine-tuning runs via API	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/foundation-model-training/create-fine-tune-run
Prepare and format data for Foundation Model Fine-tuning	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/foundation-model-training/data-preparation
Configure and run Foundation Model fine-tuning jobs	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/foundation-model-training/fine-tune-run-tutorial
Configure Foundation Model Fine-tuning runs in the UI	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/foundation-model-training/ui
Configure classic compute for Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/configure-compute
Configure Lakeflow pipelines with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/ldp/configure-pipeline
Create and refresh materialized views in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/ldp/dbsql/materialized
Configure materialized view options and access control	https://learn.microsoft.com/en-us/azure/databricks/ldp/dbsql/materialized-configure
Monitor and manage materialized view refresh data	https://learn.microsoft.com/en-us/azure/databricks/ldp/dbsql/materialized-monitor
Configure and manage streaming tables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/ldp/dbsql/streaming
Configure REFRESH POLICY for materialized views	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-materialized-view-refresh-policy
Configure pipeline expectations for data quality	https://learn.microsoft.com/en-us/azure/databricks/ldp/expectations
Configure from_json schema inference and evolution	https://learn.microsoft.com/en-us/azure/databricks/ldp/from-json-schema-evolution
Configure pipelines with legacy Hive metastore	https://learn.microsoft.com/en-us/azure/databricks/ldp/hive-metastore
Configure and use Lakeflow sink APIs	https://learn.microsoft.com/en-us/azure/databricks/ldp/ldp-sinks
Understand and migrate from legacy LIVE schema	https://learn.microsoft.com/en-us/azure/databricks/ldp/live-schema
Enable default publishing mode for pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/migrate-to-dpm
Understand Lakeflow pipeline event log schema	https://learn.microsoft.com/en-us/azure/databricks/ldp/monitor-event-log-schema
Query and use the Lakeflow pipeline event log	https://learn.microsoft.com/en-us/azure/databricks/ldp/monitor-event-logs
Monitor pipelines using the Databricks UI	https://learn.microsoft.com/en-us/azure/databricks/ldp/monitoring-ui
Move streaming tables between pipelines safely	https://learn.microsoft.com/en-us/azure/databricks/ldp/move-table
Configure parameters in Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/parameters
Reference for Lakeflow pipeline JSON properties	https://learn.microsoft.com/en-us/azure/databricks/ldp/properties
Configure serverless compute for pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/serverless
Set default catalog and schema for pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/target-schema
Use ALTER SQL with pipeline datasets	https://learn.microsoft.com/en-us/azure/databricks/ldp/using-alter-sql
Install and manage libraries on Azure Databricks compute	https://learn.microsoft.com/en-us/azure/databricks/libraries/
Configure and manage compute-scoped libraries in Databricks	https://learn.microsoft.com/en-us/azure/databricks/libraries/cluster-libraries
Manage notebook-scoped Python libraries and environments in Databricks	https://learn.microsoft.com/en-us/azure/databricks/libraries/notebooks-python-libraries
Manage notebook-scoped R libraries and environments in Databricks	https://learn.microsoft.com/en-us/azure/databricks/libraries/notebooks-r-libraries
Install Databricks libraries from cloud object storage	https://learn.microsoft.com/en-us/azure/databricks/libraries/object-storage-libraries
Install Databricks libraries from PyPI, Maven, and CRAN securely	https://learn.microsoft.com/en-us/azure/databricks/libraries/package-repositories
Install Databricks libraries from Unity Catalog volumes	https://learn.microsoft.com/en-us/azure/databricks/libraries/volume-libraries
Install libraries from workspace files on Databricks clusters	https://learn.microsoft.com/en-us/azure/databricks/libraries/workspace-files-libraries
Configure AutoML data preparation for classification	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/classification-data-prep
Configure AutoML classification runs with Python API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/classification-train-api
Configure AutoML data preparation for forecasting	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/forecasting-data-prep
Configure AutoML forecasting runs with Python API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/forecasting-train-api
Configure AutoML data preparation for regression	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/regression-data-prep
Configure AutoML regression runs with Python API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/regression-train-api
Manage feature tables in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/uc/feature-tables-uc
Explore and manage feature tables in Unity Catalog UI	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/uc/ui-uc
Use Databricks-hosted foundation models via Foundation Model APIs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/supported-models
Copy model versions to Unity Catalog with MLflow	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/migrate-models
Manage ML models in legacy Workspace Model Registry	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/manage-model-lifecycle/workspace-model-registry
Configure Databricks load test environment for model serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/configure-load-test
Configure custom models for Mosaic AI Model Serving	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/custom-models
Enable inference tables on Databricks model serving endpoints via API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/enable-model-serving-inference-tables
Use inference tables to log Databricks model serving requests and responses	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/inference-tables
Manage Databricks model serving endpoints via UI and REST API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/manage-serving-endpoints
Export Databricks serving endpoint health metrics to Prometheus and Datadog	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/metrics-export-serving-endpoint
Package custom artifacts for Databricks Model Serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/model-serving-custom-artifacts
Configure custom and private Python libraries for Databricks Model Serving	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/private-libraries-model-serving
Serve multiple models and configure traffic splits on Databricks endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/serve-multiple-models-to-serving-endpoint
Configure and connect Ray clusters on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/ray-create
Start Ray clusters using Databricks Spark jobs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/start-ray
Define and manage metric views using SQL	https://learn.microsoft.com/en-us/azure/databricks/metric-views/create/sql
Configure joins in Unity Catalog metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/joins
Configure semantic metadata for metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/semantic-metadata
Author YAML metric view definitions in Databricks	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/syntax
Build dashboards from MLflow system tables	https://learn.microsoft.com/en-us/azure/databricks/mlflow/build-dashboards
Log ML model dependencies as MLflow artifacts	https://learn.microsoft.com/en-us/azure/databricks/mlflow/log-model-dependencies
Use MLflow Logged Models for lifecycle tracking	https://learn.microsoft.com/en-us/azure/databricks/mlflow/logged-model
Log, load, and register MLflow models on Databricks	https://learn.microsoft.com/en-us/azure/databricks/mlflow/models
Configure MLflow tracking server storage locations	https://learn.microsoft.com/en-us/azure/databricks/mlflow/tracking-server-configuration
Quick reference for migrating to MLflow 3 APIs	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/agent-eval-migration-reference
Use MLflow evaluation dataset schema and APIs	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/concepts/eval-datasets
Use scorer lifecycle APIs for GenAI monitoring	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/concepts/production-quality-monitoring
Configure MLflow GenAI production quality monitoring	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/eval-monitor/production-monitoring
Configure MLflow experiments and environment connections	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/getting-started/connect-environment
Configure MLflow labeling schemas for Review App	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/human-feedback/concepts/labeling-schemas
Manage MLflow labeling sessions for expert reviews	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/human-feedback/concepts/labeling-sessions
Track prompt and app versions with LoggedModels	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/track-prompts-app-versions
Track GenAI app versions with MLflow LoggedModel	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/version-tracking/track-application-versions-with-mlflow
Concepts for MLflow LoggedModel version tracking	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/version-tracking/version-concepts
Add contextual metadata to MLflow traces	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/add-context-to-traces
Configure automatic and manual MLflow tracing	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/
Enable automatic MLflow tracing for GenAI apps	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/automatic
Implement manual MLflow tracing for GenAI applications	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/manual-tracing/
Use @mlflow.trace decorators to instrument functions	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/manual-tracing/function-decorator
Use low-level MlflowClient APIs for advanced tracing	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/manual-tracing/low-level-api
Create spans with mlflow.start_span context manager	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/manual-tracing/span-tracing
Manage tags and metadata on MLflow traces	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/attach-tags/
Collect and log user feedback as MLflow assessments	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/collect-user-feedback/
Access MLflow trace metadata, spans, and assessments via SDK	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/access-trace-data
Query MLflow trace data in Unity Catalog with DBSQL	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/query-dbsql
Search and analyze MLflow traces programmatically	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/query-via-sdk
View and inspect MLflow traces in the Databricks UI	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/observe-with-traces/ui-traces
Store MLflow traces in Unity Catalog using OTEL format	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/trace-unity-catalog
Use and migrate legacy ${param} notebook widgets	https://learn.microsoft.com/en-us/azure/databricks/notebooks/legacy-widgets
Configure Databricks notebook file formats and output commits	https://learn.microsoft.com/en-us/azure/databricks/notebooks/notebook-format
Enable and use Databricks Assistant across workspace tools	https://learn.microsoft.com/en-us/azure/databricks/notebooks/use-databricks-assistant
Configure and use Databricks notebook widgets	https://learn.microsoft.com/en-us/azure/databricks/notebooks/widgets
Create and configure Lakebase Provisioned instances	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/create/
View and analyze Lakebase active queries	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/active-queries
Use supported Postgres extensions in Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/extensions
Create and manage Lakebase Postgres branches	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-branches
Configure Lakebase compute sizing and scaling	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-computes
Create and manage Lakebase Postgres databases	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-databases
Configure and manage Lakebase Postgres projects	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-projects
Use Lakebase metrics dashboard for system monitoring	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/metrics
Monitor Lakebase Postgres system operations	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/monitor
Track Lakebase system operation health and status	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/operations
Configure point-in-time restore for Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/point-in-time-restore
Monitor Lakebase Postgres query performance	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/query-performance
Create and restore Lakebase database snapshots	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/snapshots
Configure automatic updates for Lakebase Postgres	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/updates
Configure archival support for Delta tables on Azure Archive	https://learn.microsoft.com/en-us/azure/databricks/optimizations/archive-delta
Configure Bloom filter indexes for Delta Lake on Databricks	https://learn.microsoft.com/en-us/azure/databricks/optimizations/bloom-filters
Use RuntimeConfig to manage Spark runtime settings	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/runtimeconfig
Configure bucket partition transforms with DataFrameWriterV2	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/partitioning_bucket
Configure day-based partitioning for timestamps and dates	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/partitioning_days
Configure hour-based partitioning for timestamp data	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/partitioning_hours
Configure month-based partitioning for Databricks tables	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/partitioning_months
Configure year-based partitioning for Databricks data	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/partitioning_years
List, secure, and manage Lakehouse Federation connections	https://learn.microsoft.com/en-us/azure/databricks/query-federation/connections
Manage foreign catalogs in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/query-federation/foreign-catalogs
Enable Hive metastore federation for external metastores	https://learn.microsoft.com/en-us/azure/databricks/query-federation/hms-federation-external
Enable Hive metastore federation for legacy workspaces	https://learn.microsoft.com/en-us/azure/databricks/query-federation/hms-federation-internal
Enable OneLake catalog federation in Databricks	https://learn.microsoft.com/en-us/azure/databricks/query-federation/onelake
Configure Snowflake catalog federation with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/query-federation/snowflake-catalog-federation
Identify and manage legacy Databricks Runtime usage	https://learn.microsoft.com/en-us/azure/databricks/release-notes/runtime/databricks-runtime-ver
Choose appropriate Databricks serverless environment versions	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/
Reference serverless environment version 5 system details	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/five
Use Databricks serverless GPU environment version 5	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/five-gpu
Reference serverless environment version 4 system details	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/four
Use Databricks serverless GPU environment version 4	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/four-gpu
Reference serverless environment version 1 system details	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/one
Reference serverless environment version 3 system details	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/three
Use Databricks serverless GPU environment version 3	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/three-gpu
Reference serverless environment version 2 system details	https://learn.microsoft.com/en-us/azure/databricks/release-notes/serverless/environment-version/two
Manage Databricks Git folders with Terraform	https://learn.microsoft.com/en-us/azure/databricks/repos/automate-with-terraform
Enable or disable Databricks Git folders via API	https://learn.microsoft.com/en-us/azure/databricks/repos/enable-disable-repos-with-api
Use supported asset types in Databricks Git folders	https://learn.microsoft.com/en-us/azure/databricks/repos/supported-artifact-types
Configure domain-based firewall rules for Databricks access	https://learn.microsoft.com/en-us/azure/databricks/resources/firewall-rules
Configure network access using Azure Databricks IPs and domains	https://learn.microsoft.com/en-us/azure/databricks/resources/ip-domain-region
Choose supported browsers for Azure Databricks UI	https://learn.microsoft.com/en-us/azure/databricks/resources/supported-browsers
Create schemas in Unity Catalog and Hive metastore	https://learn.microsoft.com/en-us/azure/databricks/schemas/create-schema
Manage Unity Catalog schemas in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/schemas/manage-schema
Reconfigure Azure Databricks workspace VNet settings	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/update-workspaces
Use ARM template to enable workspace storage firewall	https://learn.microsoft.com/en-us/azure/databricks/security/network/storage/firewall-support-arm-template
Use Databricks secrets in Spark configs and environment variables	https://learn.microsoft.com/en-us/azure/databricks/security/secrets/secrets-spark-conf-env-var
Set and manage Spark configuration properties on Databricks	https://learn.microsoft.com/en-us/azure/databricks/spark/conf
Connect to Databricks-hosted RStudio Server clusters	https://learn.microsoft.com/en-us/azure/databricks/sparkr/hosted-rstudio-server
Manage R dependencies with renv on Databricks	https://learn.microsoft.com/en-us/azure/databricks/sparkr/renv
Configure RStudio to use Azure Databricks compute	https://learn.microsoft.com/en-us/azure/databricks/sparkr/rstudio
Use CASE control-flow statement in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/case-stmt
Close cursors with CLOSE in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/close-stmt
Define BEGIN END compound SQL blocks in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/compound-stmt
Iterate query results with FOR in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/for-stmt
Retrieve exception details with GET DIAGNOSTICS in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/get-diagnostics-stmt
Control flow with IF THEN ELSE in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/if-stmt
Skip loop iterations with ITERATE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/iterate-stmt
Exit loops with LEAVE in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/leave-stmt
Create unconditional loops with LOOP in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/loop-stmt
Use REPEAT loops in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/repeat-stmt
Re-raise handled conditions with RESIGNAL in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/resignal-stmt
Raise custom conditions with SIGNAL in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/signal-stmt
Create WHILE loops in Databricks SQL scripts	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/control-flow/while-stmt
Clone Delta, Iceberg, and Parquet tables with CREATE TABLE CLONE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-clone
Create Bloom filter indexes on Delta tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-create-bloomfilter-index
Query Databricks event_log table-valued function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/event_log
Get file block length metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/input_file_block_length
Get file block start offset metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/input_file_block_start
Retrieve input file name metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/input_file_name
List reserved SQL keywords in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sql_keywords
Inspect provider share usage with CATALOG_PROVIDER_SHARE_USAGE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/catalog_provider_share_usage
Query catalog tags with INFORMATION_SCHEMA.CATALOG_TAGS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/catalog_tags
Discover catalogs with INFORMATION_SCHEMA.CATALOGS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/catalogs
Understand planned CHECK_CONSTRAINTS information schema relation	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/check_constraints
Query column tags with INFORMATION_SCHEMA.COLUMN_TAGS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/column_tags
List table and view columns via INFORMATION_SCHEMA.COLUMNS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/columns
Discover foreign connections via INFORMATION_SCHEMA.CONNECTIONS	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/connections
Inspect constraint column usage with CONSTRAINT_COLUMN_USAGE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/constraint_column_usage
Inspect table-level constraints with CONSTRAINT_TABLE_USAGE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/constraint_table_usage
Query EXTERNAL_LOCATIONS metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/external_locations
Use INFORMATION_SCHEMA_CATALOG_NAME in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/information_schema_catalog_name
Inspect KEY_COLUMN_USAGE constraints in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/key_column_usage
Retrieve metastore metadata with METASTORES view	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/metastores
Query routine PARAMETERS in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/parameters
Inspect data sharing PROVIDERS metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/providers
Query RECIPIENTS metadata in Databricks sharing	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/recipients
Inspect REFERENTIAL_CONSTRAINTS in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/referential_constraints
List ROUTINE_COLUMNS for table-valued functions	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/routine_columns
Query ROUTINES metadata in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/routines
Inspect SCHEMA_SHARE_USAGE for shared schemas	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/schema_share_usage
Query SCHEMA_TAGS metadata in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/schema_tags
Use SCHEMATA view to list Unity Catalog schemas	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/schemata
Query SHARES metadata in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/shares
Inspect STORAGE_CREDENTIALS metadata (deprecated)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/storage_credentials
Use TABLE_CONSTRAINTS to inspect key metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/table_constraints
Inspect TABLE_SHARE_USAGE for shared tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/table_share_usage
Query TABLE_TAGS metadata for tables and views	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/table_tags
Use TABLES view for table and view metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/tables
Inspect VIEWS metadata in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/views
Query VOLUME_TAGS metadata for Unity Catalog volumes	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/volume_tags
Use VOLUMES view for Unity Catalog volume metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/information-schema/volumes
Configure ANSI_MODE behavior in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/ansi_mode
Configure LEGACY_TIME_PARSER_POLICY in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/legacy_time_parser_policy
Set MAX_FILE_PARTITION_BYTES for Databricks SQL reads	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/max_partition_bytes
Configure READ_ONLY_EXTERNAL_METASTORE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/read_only_external_metastore
Configure TIMEZONE for Databricks SQL sessions	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/timezone
Control USE_CACHED_RESULT behavior in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/parameters/use_cached_result
Configure ANSI compliance options in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-ansi-compliance
Configure string collation in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-collation
Apply Databricks SQL data type resolution rules	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-datatype-rules
Reference SQL data types in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-datatypes
Use Databricks SQL datetime format patterns	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-datetime-pattern
Configure and run Unity Catalog federated queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-federated-queries
Define and use identifiers in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-identifiers
Query Unity Catalog metadata via INFORMATION_SCHEMA	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-information-schema
Resolve names to objects in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-name-resolution
Configure Databricks SQL global and session parameters	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-parameters
Use partitions and liquid clustering in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-partition
Use reserved words and schemas in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-reserved-words
Author SQL scripts with Databricks SQL/PSM syntax	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-scripting
Configure table and query caching with CACHE TABLE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-cache-table
Clear Spark and Databricks SQL caches with CLEAR CACHE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-clear-cache
Invoke stored procedures with CALL in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-call
ALTER CATALOG options in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-catalog
DROP CONNECTION to convert foreign catalogs	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-catalog-drop-connection
ALTER CONNECTION syntax for Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-connection
ALTER CREDENTIAL command in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-credential
Use ALTER DATABASE (alias for ALTER SCHEMA)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-database
ALTER EXTERNAL LOCATION properties in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-location
ALTER MATERIALIZED VIEW in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-materialized-view
ALTER PROVIDER ownership and name in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-provider
Use ALTER RECIPIENT to manage Delta Sharing recipients	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-recipient
Alter schemas and predictive optimization in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-schema
Set managed locations for foreign schemas in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-schema-set-managed-location
Manage Unity Catalog shares with ALTER SHARE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-share
Alter Databricks SQL streaming tables with DDL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-streaming-table
Alter Databricks tables and properties with ALTER TABLE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-table
Add constraints to Delta tables with ALTER TABLE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-table-add-constraint
Drop table constraints in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-table-drop-constraint
Manage table columns with ALTER TABLE in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-table-manage-column
Manage table partitions with ALTER TABLE in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-table-manage-partition
Alter Databricks views and metadata with ALTER VIEW	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-view
Convert foreign views to managed views in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-view-set-managed
Rename or change ownership of Unity Catalog volumes	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-alter-volume
Configure liquid clustering with CLUSTER BY in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-cluster-by
Set comments on Unity Catalog and table objects	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-comment
Create Unity Catalog catalogs with CREATE CATALOG	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-catalog
Define foreign connections for federated queries in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-connection
Create databases (schemas) with CREATE DATABASE in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-database
Create external user-defined functions in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-function
Create Unity Catalog external locations with SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-location
Create and manage materialized views in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-materialized-view
Configure materialized view refresh policies in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-materialized-view-refresh-policy
Define stored procedures with CREATE PROCEDURE in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-procedure
Create Delta Sharing recipients with CREATE RECIPIENT	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-recipient
Create schemas in Databricks with CREATE SCHEMA	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-schema
Create servers (connections) with CREATE SERVER in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-server
Create Unity Catalog shares with CREATE SHARE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-share
Create SQL and Python functions in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-sql-function
Create streaming tables in Databricks SQL and Lakeflow	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-streaming-table
Define constraints in CREATE TABLE and materialized views	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table-constraint
Create Hive-format tables in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table-hiveformat
Create tables from existing definitions with CREATE TABLE LIKE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table-like
Create managed, temporary, and external tables in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table-using
Configure table properties and storage options in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-tblproperties
Configure and manage session variables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-variables
Use TPC-DS sample datasets in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/tpcds-eval
Configure and manage Databricks SQL alerts	https://learn.microsoft.com/en-us/azure/databricks/sql/user/alerts/
Set up and use legacy Databricks SQL alerts	https://learn.microsoft.com/en-us/azure/databricks/sql/user/alerts/legacy
Configure and manage query caching in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-caching
Configure query tags for Databricks SQL cost tracking	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-tags
Customize SQL auto-formatting in Databricks editor	https://learn.microsoft.com/en-us/azure/databricks/sql/user/sql-editor/custom-format
Manage schema evolution for state variables in transformWithState	https://learn.microsoft.com/en-us/azure/databricks/stateful-applications/schema-evolution
Use and configure default storage in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/storage/default-storage
Configure asynchronous progress tracking in Databricks streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/async-progress-checking
Control Structured Streaming batch size with admission controls	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/batch-size
Configure real-time mode for ultra-low latency Structured Streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/real-time
Configure RocksDB state store for Databricks streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/rocksdb-state-store
Configure trigger intervals for Structured Streaming on Databricks	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/triggers
Define and manage constraints on Delta tables	https://learn.microsoft.com/en-us/azure/databricks/tables/constraints
Convert external tables to Unity Catalog managed tables	https://learn.microsoft.com/en-us/azure/databricks/tables/convert-external-managed
Convert foreign tables to Unity Catalog external tables	https://learn.microsoft.com/en-us/azure/databricks/tables/convert-foreign-external
Convert foreign tables to Unity Catalog managed tables	https://learn.microsoft.com/en-us/azure/databricks/tables/convert-foreign-managed
Configure and manage Unity Catalog external tables	https://learn.microsoft.com/en-us/azure/databricks/tables/external
Work with and register foreign tables in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/tables/foreign
Use temporary tables in Azure Databricks SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/tables/temporary-tables
Configure budget policies for vector search costs	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-budget-policies
Identify and delete unused Mosaic Vector Search endpoints	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vector-search-delete-endpoints
Create and manage Unity Catalog views	https://learn.microsoft.com/en-us/azure/databricks/views/create-views
Configure visualizations in Databricks notebooks and SQL editor	https://learn.microsoft.com/en-us/azure/databricks/visualizations/
Configure box chart visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/boxplot
Configure chart visualization options in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/charts
Configure cohort visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/cohorts
Format numeric values in Databricks visualizations	https://learn.microsoft.com/en-us/azure/databricks/visualizations/format-numeric-types
Configure heatmap visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/heatmap
Configure histogram visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/histogram
Configure map visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/maps
Customize table visualizations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/visualizations/tables
Use visualization types in Databricks notebooks and SQL editor	https://learn.microsoft.com/en-us/azure/databricks/visualizations/visualization-types
Create and manage Unity Catalog volumes with SQL	https://learn.microsoft.com/en-us/azure/databricks/volumes/utility-commands
Use and configure Azure Databricks per-workspace URLs	https://learn.microsoft.com/en-us/azure/databricks/workspace/per-workspace-urls

Integrations & Coding Patterns

Topic	URL
Use system tables to monitor Databricks job costs	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/jobs-cost
Query system tables to track model serving costs	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/model-serving-cost
Analyze serverless compute costs via billing system table	https://learn.microsoft.com/en-us/azure/databricks/admin/system-tables/serverless-billing
Monitor Databricks default storage costs with system tables	https://learn.microsoft.com/en-us/azure/databricks/admin/usage/default-storage
Query Databricks billable usage system table for costs	https://learn.microsoft.com/en-us/azure/databricks/admin/usage/system-tables
Configure Slack notifications for dashboard subscriptions	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/slack-subscriptions
Configure Microsoft Teams notifications for dashboards	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/teams-subscriptions
Manage AI/BI assets using Databricks REST APIs	https://learn.microsoft.com/en-us/azure/databricks/ai-bi/admin/use-apis
Integrate coding agents with Azure Databricks AI Gateway	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/coding-agent-integration-beta
Query Azure Databricks AI Gateway endpoints via APIs	https://learn.microsoft.com/en-us/azure/databricks/ai-gateway/query-endpoints-beta
Use legacy ABS-AQS connector for streaming from Blob	https://learn.microsoft.com/en-us/azure/databricks/archive/azure/aqs
Read and write Azure Cosmos DB data from Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/azure/cosmosdb
Stream data from Databricks to Azure Synapse Analytics	https://learn.microsoft.com/en-us/azure/databricks/archive/azure/stream-synapse
Configure legacy PolyBase integration with Azure Synapse	https://learn.microsoft.com/en-us/azure/databricks/archive/azure/synapse-polybase
Query Amazon Redshift from Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/amazon-redshift
Read AWS S3 data using Databricks S3 Select	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/amazon-s3-select
Connect Azure Databricks to Google BigQuery	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/bigquery
Connect Cassandra to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/cassandra
Integrate Couchbase with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/couchbase
Connect one Databricks workspace to another	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/databricks
Use Elasticsearch from Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/elasticsearch
Overview of Databricks connectors to external systems	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/external-systems
Configure JDBC connections from Databricks to external databases	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/jdbc
Integrate Azure Databricks with MariaDB via JDBC	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/mariadb
Access MongoDB Atlas from Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/mongodb
Connect Azure Databricks to MySQL via JDBC	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/mysql
Integrate Azure Databricks with Neo4j via spark connector	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/neo4j
Query PostgreSQL from Azure Databricks via JDBC	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/postgresql
Read and write Snowflake data from Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/snowflake
Read and write XML data in Databricks using spark-xml	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/spark-xml-library
Use Apache Spark connector for Azure SQL and SQL Server	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/sql-databases-azure
Use Azure Databricks with SQL Server via JDBC	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/sql-server
Access Azure Synapse Analytics from Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/connectors/synapse-analytics
Use dbutils.library utilities in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/dbutils-library
Develop Databricks code with VS Code and dbx	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/dbx/ide-how-to
Connect Azure Databricks to Excel via ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/archive/integrations/excel
Read Unity Catalog tables from Iceberg clients	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/external-access-iceberg
Import external Hive tables into Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy/hive-tables
Analyze customer reviews with ai_generate_text() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/ai-generate-text-example
Load training data with Petastorm on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/petastorm
Use Horovod for distributed deep learning on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/horovod
Run distributed training jobs with HorovodRunner	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/horovod-runner
HorovodRunner distributed training examples on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/horovod-runner-examples
Use horovod.spark for distributed deep learning	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/horovod-spark
Scale single-node PyTorch training with HorovodRunner	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/mnist-pytorch
Distributed TensorFlow/Keras MNIST training with HorovodRunner	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/mnist-tensorflow-keras
Run Hugging Face Transformers NLP inference on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/model-inference-nlp
Distributed TensorFlow 2 training with spark-tensorflow-distributor	https://learn.microsoft.com/en-us/azure/databricks/archive/machine-learning/train-model/spark-tf-distributor
Track ML experiments in Java/Scala with MLflow on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/mlflow/quick-start-java-scala
Track ML experiments in R with MLflow on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/mlflow/quick-start-r
Export and import ML models with MLeap on Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/model-export/mleap-model-export
Train PySpark model and save in MLeap format	https://learn.microsoft.com/en-us/azure/databricks/archive/model-export/tracking-ex-pyspark
Use bamboolib for no-code data wrangling in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/notebooks/bamboolib
Integrate Infoworks DataFoundry with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/partners/infoworks
Connect Spotfire Analyst to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/partners/spotfire
Use Syncsort (Precisely) with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/partners/syncsort
Connect SQL Workbench/J to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/partners/workbenchj
Access Amazon S3 from Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/amazon-s3
Use ABFS driver with ADLS and Blob Storage in Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/azure-storage
Connect Azure Databricks to Google Cloud Storage	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/gcs
Connect Azure Databricks to Azure Data Lake Storage via OAuth	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/tutorial-azure-storage
Configure legacy WASB driver for Azure Blob Storage	https://learn.microsoft.com/en-us/azure/databricks/archive/storage/wasb-blob
Enable enterprise code search via GitHub MCP in Databricks	https://learn.microsoft.com/en-us/azure/databricks/assistant/github-mcp
Integrate Databricks Assistant with MCP servers	https://learn.microsoft.com/en-us/azure/databricks/assistant/mcp
Run distributed multi-GPU and multi-node training with Databricks serverless GPU API	https://learn.microsoft.com/en-us/azure/databricks/compute/serverless/distributed-training
Configure JDBC Unity Catalog connections in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/connect/jdbc-connection
Stream with Apache Kafka as source or sink in Databricks	https://learn.microsoft.com/en-us/azure/databricks/connect/streaming/kafka
Subscribe to Google Pub/Sub with Structured Streaming	https://learn.microsoft.com/en-us/azure/databricks/connect/streaming/pub-sub
Stream from Apache Pulsar using Databricks Structured Streaming	https://learn.microsoft.com/en-us/azure/databricks/connect/streaming/pulsar
Use Unity Catalog service credentials to call external services	https://learn.microsoft.com/en-us/azure/databricks/connect/unity-catalog/cloud-services/use-service-credentials
Manage Azure Databricks dashboards via REST API	https://learn.microsoft.com/en-us/azure/databricks/dashboards/tutorials/dashboard-crud-api
Automate dashboard lifecycle with Workspace and Lakeview APIs	https://learn.microsoft.com/en-us/azure/databricks/dashboards/tutorials/workspace-dashboard-api
Integrate external lineage sources with Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/data-governance/unity-catalog/external-lineage
Integrate SAP Business Data Cloud with Databricks via Delta Sharing	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/sap-bdc/
Create and manage SAP BDC connections for Delta Sharing	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/sap-bdc/create-connection
Grant SAP BDC recipients access to Databricks Delta shares	https://learn.microsoft.com/en-us/azure/databricks/delta-sharing/sap-bdc/share-to-sap
Use MERGE to upsert into Delta tables on Databricks	https://learn.microsoft.com/en-us/azure/databricks/delta/merge
Expose Delta tables as Iceberg to external clients (UniForm)	https://learn.microsoft.com/en-us/azure/databricks/delta/uniform
Include private artifacts in Databricks Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/artifact-private
Reference for Databricks CLI command groups and commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/commands
Download Databricks billable usage logs with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-billable-usage-commands
Manage Databricks account resources with CLI account commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-commands
Manage Databricks account credential configurations via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/account-credentials-commands
Call Databricks REST APIs via CLI api command	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/api-commands
Manage external data connections via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/connections-commands
Use Databricks CLI external-lineage commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/external-lineage-commands
Manage Unity Catalog external locations via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/external-locations-commands
Manage external metadata in Unity Catalog via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/external-metadata-commands
Administer Databricks feature store with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/feature-engineering-commands
Use Databricks CLI fs commands for DBFS and volumes	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/fs-commands
Manage Unity Catalog UDFs with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/functions-commands
Control Databricks Genie spaces via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/genie-commands
Configure Git credentials using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/git-credentials-commands
Administer Databricks instance pools via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/instance-pools-commands
Create and manage Databricks jobs via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/jobs-commands
Work with Databricks Labs apps using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/labs-commands
Manage Lakeview dashboards with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/lakeview-commands
Install and manage libraries via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/libraries-commands
Administer Unity Catalog metastores with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/metastores-commands
Use CLI to manage workspace model registry	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/model-registry-commands
Manage Unity Catalog model versions via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/model-versions-commands
Configure notification destinations with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/notification-destinations-commands
Manage online tables from Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/online-tables-commands
Control Databricks pipelines using CLI commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/pipelines-commands
Manage Lakebase Postgres resources with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/postgres-commands
Administer Databricks marketplace exchanges via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-exchanges-commands
Manage Databricks marketplace files with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-files-commands
Manage Databricks marketplace listings via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-listings-commands
Handle marketplace personalization requests with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-personalization-requests-commands
Manage provider analytics dashboards via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-provider-analytics-dashboards-commands
Manage marketplace providers using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/provider-providers-commands
Manage Delta Sharing providers via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/providers-commands
Connect to Postgres databases with Databricks psql	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/psql-command
Manage Databricks quality monitors via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/quality-monitors-commands
Create and manage Databricks SQL queries via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/queries-commands
Use Databricks CLI queries-legacy commands	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/queries-legacy-commands
Manage query history with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/query-history-commands
Retrieve recipient activation via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/recipient-activation-commands
Manage recipient federation policies with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/recipient-federation-policies-commands
Manage Unity Catalog recipients via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/recipients-commands
Manage registered ML models with Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/registered-models-commands
Manage Git repos folders using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/repos-commands
Manage Unity Catalog resource quotas via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/resource-quotas-commands
Handle Unity Catalog access requests with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/rfa-commands
Manage Unity Catalog schemas using CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/schemas-commands
Manage Databricks model serving endpoints via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/serving-endpoints-commands
Manage Unity Catalog shares via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/shares-commands
Create and use Databricks SSH tunnels via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/ssh-commands
Sync local files to Databricks workspace via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/sync-commands
Manage system schemas in Databricks via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/system-schemas-commands
Manage table constraints in Unity Catalog via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/table-constraints-commands
Manage Unity Catalog tables using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/tables-commands
Manage governed tag policies via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/tag-policies-commands
Manage vector search endpoints via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/vector-search-endpoints-commands
Manage vector search indexes using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/vector-search-indexes-commands
Check Databricks CLI version information	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/version-command
Manage Unity Catalog volumes via Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/volumes-commands
Manage SQL warehouses using Databricks CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/warehouses-commands
Manage Databricks workspace files and folders via CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/reference/workspace-commands
Connect external data via Unity Catalog connections in Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/connections
Embed Databricks Apps in external web UIs	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/embed
Invoke Unity Catalog UDFs from Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/functions
Add Genie space AI/BI resource to Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/genie
Attach Lakebase database instances to Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/lakebase
Connect Lakeflow Jobs as resources in Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/lakeflow
Integrate MLflow experiments with Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/mlflow
Use model serving endpoints in Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/model-serving
Integrate Databricks Apps with platform resources	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/resources
Add SQL warehouse resources to Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/sql-warehouse
Access Unity Catalog volumes from Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/uc-volumes
Use Databricks Connect for Python with external tools	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/
Handle asynchronous queries in Databricks Connect Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/async
Use Databricks Utilities via Databricks Connect for Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/databricks-utilities
Reference code examples for Databricks Connect Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/examples
Use the PySpark shell configured for Databricks Connect	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/spark-shell
Develop local Databricks apps with Databricks Connect	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/python/tutorial-apps
Use Databricks Connect with R via sparklyr	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/r/
Use Databricks Connect for Scala with external tools	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/
Handle async queries in Databricks Connect Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/async
Use Databricks Utilities via Databricks Connect Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/databricks-utilities
Reference code examples for Databricks Connect Scala	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/examples
Implement Scala UDFs with Databricks Connect	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-connect/scala/udf
Run queries with Databricks SQL CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-sql-cli
Configure DataGrip to connect to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/datagrip
Configure DBeaver to connect to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/dbeaver
Use Databricks SQL Driver for Go	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/go-sql-driver
Use Databricks SQL Driver for Node.js	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/nodejs-sql-driver
Connect Python via pyodbc to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/pyodbc
Use Databricks SQL Connector for Python	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/python-sql-connector
Use English SDK to generate Spark objects	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-english
Automate Databricks with the Go SDK	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-go
Automate Databricks with the Java SDK	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-java
Automate Databricks with the Python SDK	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-python
Automate Databricks with the R SDK	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sdk-r
Use Databricks SQL Statement Execution API 2.0	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sql-execution-tutorial
Integrate SQLAlchemy with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sqlalchemy
Configure Databricks Driver for SQLTools in VS Code	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/sqltools-driver
Debug Python with Databricks Connect in VS Code	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/databricks-connect
Run and debug Databricks notebooks in VS Code via Connect	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/notebooks
Create Unity Catalog external Delta tables from external clients	https://learn.microsoft.com/en-us/azure/databricks/external-access/create-external-tables
Configure Apache Iceberg clients for Unity Catalog tables	https://learn.microsoft.com/en-us/azure/databricks/external-access/iceberg
Access Unity Catalog tables from external Delta clients	https://learn.microsoft.com/en-us/azure/databricks/external-access/unity-rest
Import Python and R modules from Databricks workspace files	https://learn.microsoft.com/en-us/azure/databricks/files/workspace-modules
Create custom text LLM agents with Agent Bricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-bricks/custom-llm
Implement information extraction agents with Agent Bricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-bricks/key-info-extraction
Build document-based chatbots with Knowledge Assistant	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-bricks/knowledge-assistant
Create and manage AI agent tools with MCP and Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/agent-tool
Integrate Anthropic SDK calls with Unity Catalog tools	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/anthropic-uc-integration
Add code interpreter tools to Databricks AI agents	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/code-interpreter-tools
Create AI agent tools using Unity Catalog functions	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/create-custom-tool
Connect Databricks AI tools to external HTTP services	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/external-connection-tools
Integrate LangChain workflows with Unity Catalog tools	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/langchain-uc-integration
Integrate LlamaIndex workflows with Unity Catalog tools	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/llamaindex-uc-integration
Integrate OpenAI workflows with Unity Catalog tools	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/openai-uc-integration
Query Databricks AI agents via APIs and SDKs	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/query-agent
Integrate Databricks AI agents with Slack via HTTP connections	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/slack-agent
Connect Databricks agents to structured data sources	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/structured-retrieval-tools
Connect Databricks AI agents to Microsoft Teams	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/teams-agent
Use Unity Catalog tools with third-party agent frameworks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/unity-catalog-tool-integration
Connect Databricks agents to unstructured data via Vector Search	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/unstructured-retrieval-tools
Use Databricks managed MCP servers for agent tools	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/mcp/managed-mcp
Build unstructured data pipelines for RAG on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/ai-cookbook/quality-data-pipeline-rag
Configure external endpoints for OpenAI models on Databricks	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/tutorials/external-models-tutorial
Integrate Genie via the Databricks Conversation API	https://learn.microsoft.com/en-us/azure/databricks/genie/conversation-api
Implement common Auto Loader data ingestion patterns	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/patterns
Use temporary credentials with COPY INTO ingestion	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/temporary-credentials
Load ADLS data with COPY INTO and service principals	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/tutorial-dbsql
Use COPY INTO with Unity Catalog storage	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/copy-into/unity-catalog
Incrementally clone Parquet and Iceberg tables to Delta	https://learn.microsoft.com/en-us/azure/databricks/ingestion/data-migration/clone-parquet
Convert Parquet and Iceberg tables to Delta Lake	https://learn.microsoft.com/en-us/azure/databricks/ingestion/data-migration/convert-to-delta
Ingest Google Drive files with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/google-drive
Configure Databricks Lakeflow Connect for Confluence	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/confluence-pipeline
Ingest Microsoft Dynamics 365 data with Lakeflow	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/d365-pipeline
Set up Google Ads ingestion with Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/google-ads-pipeline
Configure Lakeflow Connect ingestion from Salesforce	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/salesforce-pipeline
Build a Lakeflow Connect pipeline from ServiceNow	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/servicenow-pipeline
Create a Lakeflow Connect pipeline from SharePoint	https://learn.microsoft.com/en-us/azure/databricks/ingestion/lakeflow-connect/sharepoint-pipeline
Ingest SFTP files using Lakeflow Connect Auto Loader	https://learn.microsoft.com/en-us/azure/databricks/ingestion/sftp
Ingest SharePoint files into Delta tables	https://learn.microsoft.com/en-us/azure/databricks/ingestion/sharepoint
Ingest semi-structured data using VARIANT type	https://learn.microsoft.com/en-us/azure/databricks/ingestion/variant
Ingest data using Zerobus Ingest connector in Databricks	https://learn.microsoft.com/en-us/azure/databricks/ingestion/zerobus-ingest
Run and test dbt models locally with Databricks	https://learn.microsoft.com/en-us/azure/databricks/integrations/dbt-core-tutorial
Use Databricks Connector integration with Google Sheets	https://learn.microsoft.com/en-us/azure/databricks/integrations/google-sheets/
Set up Databricks Connector for Google Sheets workspaces	https://learn.microsoft.com/en-us/azure/databricks/integrations/google-sheets/connect
Query Azure Databricks data from Google Sheets	https://learn.microsoft.com/en-us/azure/databricks/integrations/google-sheets/query-data
Schedule Databricks data refreshes in Google Sheets	https://learn.microsoft.com/en-us/azure/databricks/integrations/google-sheets/schedule-refresh
Use GraphFrames package on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/integrations/graphframes/
Apply GraphFrames for graph analysis in Scala	https://learn.microsoft.com/en-us/azure/databricks/integrations/graphframes/user-guide-scala
Run SQL queries using Databricks JDBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/example
Use JDBC metadata to discover Databricks metric views	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/metadata
Java API reference for Databricks JDBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/reference
Manage Unity Catalog volume files via JDBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc-oss/volumes
Configure authentication for Databricks JDBC Driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/authentication
Configure advanced capabilities in Databricks JDBC Driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/capability
Set Databricks JDBC Driver compute options	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/compute
Configure authentication for legacy Databricks JDBC Driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/legacy
Manage Unity Catalog volume files via JDBC Driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/jdbc/volumes
Use Azure Databricks Genie MCP server in Foundry	https://learn.microsoft.com/en-us/azure/databricks/integrations/microsoft-foundry
Integrate Azure Databricks with Microsoft Power Platform	https://learn.microsoft.com/en-us/azure/databricks/integrations/msft-power-platform
Create Azure Databricks connections in Power Platform	https://learn.microsoft.com/en-us/azure/databricks/integrations/msft-power-platform-setup
Use Databricks data and Genie in Power Platform apps	https://learn.microsoft.com/en-us/azure/databricks/integrations/msft-power-platform-usage
Connect Azure Databricks to Python and R via ODBC	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/connect-databricks-excel-python-r
Manage Unity Catalog volume files via ODBC driver	https://learn.microsoft.com/en-us/azure/databricks/integrations/odbc/volumes
Automate Databricks job management with CLI, SDK, and API	https://learn.microsoft.com/en-us/azure/databricks/jobs/automate
Configure dbt tasks to run projects on Databricks	https://learn.microsoft.com/en-us/azure/databricks/jobs/dbt
Orchestrate dbt platform jobs from Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/dbt-platform
Orchestrate Lakeflow Jobs using Apache Airflow	https://learn.microsoft.com/en-us/azure/databricks/jobs/how-to/use-airflow-with-jobs
Integrate dbt Core transformations in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/how-to/use-dbt-in-workflows
Package and run Python wheels in Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/how-to/use-python-wheels-in-workflows
Access job and task parameters from Databricks code	https://learn.microsoft.com/en-us/azure/databricks/jobs/parameter-use
Pass task values between Azure Databricks job tasks	https://learn.microsoft.com/en-us/azure/databricks/jobs/task-values
Deploy batch inference pipelines with AI Functions	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/batch-inference-pipelines
Use LangChain integrations with Databricks LLMs	https://learn.microsoft.com/en-us/azure/databricks/large-language-models/langchain
Clone Hive metastore pipelines to Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/ldp/clone-hms-to-uc
Replicate external RDBMS tables with AUTO CDC	https://learn.microsoft.com/en-us/azure/databricks/ldp/database-replication
Use Lakeflow pipelines features in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/ldp/dbsql/dbsql-for-ldp
Define pipeline datasets with Python decorators	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/definition-function
Use append_flow decorator for append-only sinks	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-append-flow
Process CDC data with create_auto_cdc_flow	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-apply-changes
Process snapshot CDC with create_auto_cdc_from_snapshot_flow	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-apply-changes-from-snapshot
Apply data quality expectations in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-expectations
Define materialized views with Python decorator	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-materialized-view
Create sinks for Kafka and Delta in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-sink
Create streaming tables with create_streaming_table	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-streaming-table
Create streaming tables with @table decorator	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-table
Create temporary views with @temporary_view	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-python-ref-view
Use AUTO CDC INTO for pipeline CDC flows	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-apply-changes-into
Create pipeline flows with CREATE FLOW SQL	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-flow
Define materialized views with SQL in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-materialized-view
Create streaming tables with SQL in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-streaming-table
Create temporary views with SQL in pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-temporary-view
Create views with SQL in Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/ldp-sql-ref-create-view
Develop Lakeflow pipelines using Python APIs	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/python-dev
Reference for Lakeflow pipeline Python APIs	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/python-ref
Develop Lakeflow pipelines using SQL syntax	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/sql-dev
Reference for Lakeflow pipeline SQL language	https://learn.microsoft.com/en-us/azure/databricks/ldp/developer/sql-ref
Implement pipeline event hooks for custom monitoring	https://learn.microsoft.com/en-us/azure/databricks/ldp/event-hooks
Ingest Azure Event Hubs data with pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/event-hubs
Process streaming data with ForEachBatch sinks	https://learn.microsoft.com/en-us/azure/databricks/ldp/for-each-batch
Import Python modules from Git or workspace into pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/import-workspace-files
Use custom sinks in Lakeflow pipelines	https://learn.microsoft.com/en-us/azure/databricks/ldp/sinks
Run Databricks pipelines from workflow tools	https://learn.microsoft.com/en-us/azure/databricks/ldp/workflows
Use Hyperopt with HorovodRunner for distributed ML	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-distributed-ml
Model selection with Hyperopt and MLflow	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-model-selection
Parallelize Hyperopt tuning with Spark and MLflow	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/hyperopt-spark-mlflow-integration
Integrate Optuna hyperparameter tuning with MLflow	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl-hyperparam-tuning/optuna
Use Azure Databricks AutoML Python API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/automl-api-reference
Integrate Databricks Feature Store with AutoML experiments	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/automl/feature-store-integration
Configure automatic feature lookup for model serving	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/automatic-feature-lookup
Set up and use Databricks Feature Serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/feature-function-serving
Deploy and query a Databricks feature serving endpoint	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/feature-serving-tutorial
Create and use on-demand features in Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/on-demand-features
Publish features to third-party online stores	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/publish-features
Use Databricks Feature Engineering Python APIs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/python-api
Use third-party online stores with Databricks Feature Store	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/third-party-online-stores
Train models using Databricks Feature Store features	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/train-models-with-feature-store
Create and manage Workspace Feature Store tables	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/workspace-feature-store/feature-tables
REST API reference for Databricks Foundation Model APIs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/api-reference
Load training data with Mosaic Streaming	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/load-data/streaming
Save Spark DataFrames as TFRecord files	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/load-data/tfrecords-save-load
Deploy custom Python code with Databricks Model Serving	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/deploy-custom-python-code
Use provider-native OpenAI, Anthropic, and Gemini APIs on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/provider-native-apis
Query Databricks models with Anthropic Messages API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-anthropic-messages
Query chat and general-purpose models on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-chat-models
Query embedding foundation models on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-embedding-models
Query Databricks models with Google Gemini API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-gemini-api
Query Databricks models with OpenAI Responses API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-openai-responses
Query reasoning models using Databricks Foundation Model API	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-reason-models
Query Databricks route-optimized model and feature serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-route-optimization
Query vision foundation models via Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/query-vision-models
Enable and configure route-optimized Databricks serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/route-optimization
Format and send scoring requests to Databricks custom model endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/score-custom-model-endpoints
Send requests to Databricks foundation model endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/score-foundation-models
Featurization for transfer learning with pandas UDFs	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/preprocess-data/transfer-learning-tensorflow
Integrate and coordinate Spark and Ray workloads	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/connect-spark-ray
Integrate MLflow tracking with Ray workloads	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/ray/ray-mlflow
Perform NLP on Databricks with Spark and partners	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/reference-solutions/natural-language-processing
Train a CNN on MNIST using PyTorch on Databricks serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-cnn-mnist
Run distributed LoRA fine-tuning of Qwen2-0.5B on Databricks serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-distributed-finetune-qwen2-0.5b
Fine-tune BERT-style embedding model with contrastive learning on Databricks serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-finetune-embedding-model-llmfoundry
Fine-tune Llama-3.2-3B with Unsloth and LoRA on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-finetune-llama-unsloth
Fine-tune Qwen2-0.5B with LoRA on Databricks serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-finetune-qwen2-0.5b
Train a RetinaNet object detection model on Databricks serverless GPU	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/sgc-examples/tutorials/sgc-retinanet-image-detection-model-training
Distributed training with DeepSpeed distributor on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/distributed-training/deepspeed
Train Spark ML models with Databricks Connect	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/distributed-training/distributed-ml-for-spark-connect
Distributed PyTorch training with TorchDistributor	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/distributed-training/spark-pytorch-distributor
Train PyTorch models on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/pytorch
Distributed XGBoost with deprecated sparkdl.xgboost	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/sparkdl-xgboost
Use TensorBoard for ML debugging on Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/tensorboard
Train XGBoost models on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/xgboost
Use XGBoost with Scala and Spark MLlib	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/xgboost-scala
Distributed XGBoost training with xgboost.spark	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/train-model/xgboost-spark
Define window measures in Databricks metric views	https://learn.microsoft.com/en-us/azure/databricks/metric-views/data-modeling/window-measures
Customize Databricks Autologging with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow/databricks-autologging
Integrate Workspace Model Registry with webhooks	https://learn.microsoft.com/en-us/azure/databricks/mlflow/model-registry-webhooks
Use MLflow GenAI prompt optimization with GEPA	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/automatically-optimize-prompts
Create and manage MLflow Prompt Registry entries	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/create-and-edit-prompts
Code examples for MLflow Prompt Registry operations	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/prompt-registry/examples
Instrument Node.js AI apps with MLflow Tracing SDK	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/app-instrumentation/typescript-sdk
Enable MLflow tracing for AG2 multi-agent runs	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/ag2
Trace Agno agents automatically with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/agno
Trace Anthropic LLM calls with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/anthropic
Trace AutoGen multi-agent workflows with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/autogen
Trace Amazon Bedrock LLM calls with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/bedrock
Trace Claude Code conversations with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/claude-code
Trace CrewAI multi-agent runs with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/crewai
Trace Databricks Foundation Models via MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/databricks-foundation-models
Trace DeepSeek models with MLflow OpenAI autolog	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/deepseek
Trace DSPy modules automatically with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/dspy
Trace Google Gemini calls with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/gemini
Trace Groq LLM usage with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/groq
Trace Haystack pipelines and components with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/haystack
Trace Instructor structured outputs via MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/instructor
Trace LangChain applications with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/langchain
Trace LangGraph workflows via MLflow LangChain autolog	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/langgraph
Trace LiteLLM gateway calls with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/litellm
Trace LlamaIndex engines and workflows with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/llama_index
Trace Mistral AI text generation with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/mistral
Trace Ollama local LLMs via MLflow OpenAI autolog	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/ollama
Trace OpenAI LLM calls with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/openai
Enable MLflow tracing for OpenAI Agents SDK	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/openai-agent
Integrate PydanticAI agents with MLflow tracing	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/pydantic-ai
Trace Semantic Kernel workflows with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/semantic-kernel
Trace Smolagents workflows using MLflow autologging	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/smolagents
Enable MLflow tracing for Strands Agents SDK	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/strands
Migrate from Swarm and trace OpenAI agents	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/swarm
Trace txtai semantic workflows with MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/integrations/txtai
Use MLflow MCP server to access traces	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/mlflow-mcp
Export Langfuse OpenTelemetry traces to Databricks MLflow	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/third-party/langfuse
Build custom MLflow judges and scorers for RAG	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tutorials/examples/custom-scorers
Optimize chained prompts with MLflow GEPA	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tutorials/examples/multi-prompt-optimization
Tutorial: Optimize prompts with MLflow and GEPA	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tutorials/examples/prompt-optimization-quickstart
Share and import Python code across Databricks notebooks	https://learn.microsoft.com/en-us/azure/databricks/notebooks/share-code
Query Lakebase from Databricks notebooks with examples	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/query/notebook
Connect external SQL clients to Lakebase instances	https://learn.microsoft.com/en-us/azure/databricks/oltp/instances/query/psql
Use Lakebase Autoscaling API, CLI, and SDKs	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/api-usage
Manage Lakebase with Databricks CLI commands	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/cli
Connect Lakebase Postgres to DBeaver	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connect-dbeaver
Quickstart: Connect to Lakebase Postgres securely	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connect-overview
Connect Lakebase Postgres to pgAdmin	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connect-pgadmin
Monitor Lakebase Postgres with PgHero	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connect-pghero
Connect to Lakebase Postgres with psql	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connect-psql
Configure Lakebase Postgres connection strings	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/connection-strings
Use Lakebase Data API for Postgres access	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/data-api
Connect external apps to Lakebase via SDK	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/external-apps-connect
Connect external apps to Lakebase via REST API	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/external-apps-manual-api
Use external monitoring tools with Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/external-monitoring-tools
Use frameworks to connect to Lakebase Postgres	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/framework-examples
Integrate Lakebase Postgres with Databricks services	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/integrations
Use pg_dump and pg_restore with Lakebase Postgres	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/pg-dump-restore
Use pg_stat_statements with Lakebase Postgres	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/pg-stat-statements
Connect to Lakebase using Postgres clients	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/postgres-clients
Connect Lakehouse SQL editor to Lakebase	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/query-sql-editor
Use pandas function APIs with PySpark	https://learn.microsoft.com/en-us/azure/databricks/pandas/pandas-function-apis
Convert between PySpark and pandas DataFrames	https://learn.microsoft.com/en-us/azure/databricks/pandas/pyspark-pandas-conversion
Use Partner Connect for BI and visualization tools	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/bi
Use Partner Connect for data governance integrations	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/data-governance
Use Partner Connect for machine learning integrations	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/ml
Use Partner Connect for data prep integrations	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/prep
Use Partner Connect for reverse ETL integrations	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/reverse-etl
Use Partner Connect for semantic layer tools	https://learn.microsoft.com/en-us/azure/databricks/partner-connect/semantic-layer
Read Unity Catalog data from Microsoft Fabric	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/fabric
Connect Hex collaborative workspace to Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/hex
Configure Looker with Azure Databricks clusters and SQL	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/looker
Connect Looker Studio dashboards to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/looker-studio
Connect MicroStrategy Workstation to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/microstrategy
Integrate Mode analytics with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/mode
Configure ADBC or ODBC drivers for Power BI on Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/power-bi-adbc
Connect Power BI Desktop to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/power-bi-desktop
Publish Azure Databricks data to Power BI service	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/power-bi-service
Create Unity Catalog Power BI connection for jobs	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/power-bi-uc-connect
Connect Preset (Apache Superset) to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/preset
Use Qlik Sense with Azure Databricks and Delta Lake	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/qlik-sense
Connect Sigma cloud analytics to Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/sigma
Connect Tableau Desktop and Cloud to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/tableau
Integrate ThoughtSpot search analytics with Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/bi/thoughtspot
Connect Anomalo data quality platform to Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/data-governance/anomalo
Connect erwin Data Modeler to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/data-governance/erwin
Integrate Lightup data quality indicators with Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/data-governance/lightup
Connect Monte Carlo data observability to Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/data-governance/monte-carlo
Integrate Fivetran with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/fivetran
Integrate Hevo Data pipelines with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/hevo
Connect Informatica Cloud Data Integration to Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/informatica-cloud-data-integration
Configure Qlik Replicate ingestion into Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/qlik
Integrate Rivery with Azure Databricks SQL warehouses	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/rivery
Connect RudderStack customer data platform to Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/rudderstack
Integrate Snowplow behavioral data with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/snowplow
Set up StreamSets pipelines with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ingestion/streamsets
Connect Dataiku AI platform to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ml/dataiku
Integrate John Snow Labs NLP with Databricks clusters	https://learn.microsoft.com/en-us/azure/databricks/partners/ml/john-snow-labs
Connect Labelbox training data platform to Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ml/labelbox
Integrate SuperAnnotate SDK with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/ml/superannotate
Configure dbt Core to run on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/prep/dbt
Connect dbt Cloud to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/prep/dbt-cloud
Integrate Matillion Data Productivity Cloud with Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/prep/matillion
Connect Prophecy low-code platform to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/prep/prophecy
Connect Census reverse ETL to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/reverse-etl/census
Integrate Hightouch reverse ETL with Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/reverse-etl/hightouch
Connect AtScale semantic layer to Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/semantic-layer/atscale
Integrate Stardog semantic data layer with Databricks	https://learn.microsoft.com/en-us/azure/databricks/partners/semantic-layer/stardog
Build PySpark custom data sources on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/datasources
Use the PySpark Catalog API on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/catalog
Work with the PySpark Column class on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/column
Use the PySpark DataFrame class on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframe
Handle nulls with DataFrameNaFunctions in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframenafunctions
Load data using PySpark DataFrameReader on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframereader
Compute statistics with DataFrameStatFunctions in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframestatfunctions
Write data using PySpark DataFrameWriter on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframewriter
Use DataFrameWriterV2 for advanced writes on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/dataframewriterv2
Implement custom PySpark data sources on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasource
Implement Arrow-based batch writers for PySpark data sources	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcearrowwriter
Implement custom DataSourceReader for PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcereader
Register custom data sources with DataSourceRegistration	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourceregistration
Implement Arrow-based streaming writers for PySpark data sources	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcestreamarrowwriter
Implement custom DataSourceStreamReader for PySpark streaming	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcestreamreader
Implement custom DataSourceStreamWriter for PySpark streaming	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcestreamwriter
Implement custom DataSourceWriter for PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/datasourcewriter
Use the Geography type in PySpark on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/geography
Use the Geometry type in PySpark on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/geometry
Aggregate data with GroupedData in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/groupeddata
Capture DataFrame metrics with Observation in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/observation
Generate plots with PySparkPlotAccessor on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/plotaccessor
Use the Row class in PySpark on Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/classes/row
Use ceil PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ceil
Use ceiling PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ceiling
Use char PySpark function on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/char
Use char_length PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/char_length
Use character_length PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/character_length
Use chr PySpark function on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/chr
Apply coalesce PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/coalesce
Use col helper to reference columns in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/col
Apply collate PySpark function for string collation	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/collate
Use collation PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/collation
Use collect_list aggregation in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/collect_list
Use collect_set aggregation in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/collect_set
Concatenate columns with concat in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/concat
Concatenate strings with separators using concat_ws	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/concat_ws
Use contains string function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/contains
Convert number bases with conv in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/conv
Convert time zones with convert_timezone in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/convert_timezone
Compute Pearson correlation with corr in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/corr
Compute cosine with cos function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/cos
Compute hyperbolic cosine with cosh in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/cosh
Compute cotangent with cot in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/cot
Use count aggregation in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/count
Use count_distinct aggregation in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/count_distinct
Count conditional values with count_if in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/count_if
Generate count-min sketch with PySpark in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/count_min_sketch
Compute population covariance with covar_pop in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/covar_pop
Compute sample covariance with covar_samp in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/covar_samp
Calculate CRC32 checksums with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/crc32
Create map columns with create_map in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/create_map
Compute cosecant with csc in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/csc
Use cume_dist window function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/cume_dist
Get current date with curdate in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/curdate
Retrieve current catalog with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_catalog
Retrieve current database with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_database
Get current_date in Databricks PySpark queries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_date
Retrieve current schema with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_schema
Get current_time in Databricks PySpark queries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_time
Get current_timestamp in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_timestamp
Retrieve current session time zone in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/current_timezone
Use PySpark filter function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/filter
Use find_in_set PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/find_in_set
Use first aggregate function with PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/first
Apply first_value window function in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/first_value
Flatten nested arrays with PySpark in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/flatten
Use floor numeric function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/floor
Evaluate array predicates with forall in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/forall
Format numbers with format_number in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/format_number
Build strings with format_string in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/format_string
Parse CSV strings to rows with from_csv in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/from_csv
Convert JSON strings to complex types with from_json	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/from_json
Convert Unix epoch seconds with from_unixtime in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/from_unixtime
Convert UTC timestamps to time zones in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/from_utc_timestamp
Parse XML strings to rows with from_xml in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/from_xml
Access array elements by index with get in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/get
Extract JSON fields with get_json_object in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/get_json_object
Read individual bits with getbit in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/getbit
Compute greatest value across columns in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/greatest
Use grouping function to detect aggregated columns	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/grouping
Calculate grouping_id levels in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/grouping_id
Get H3 cell boundary as GeoJSON in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_boundaryasgeojson
Get H3 cell boundary as WKB in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_boundaryaswkb
Get H3 cell boundary as WKT in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_boundaryaswkt
Get H3 cell center as GeoJSON in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_centerasgeojson
Get H3 cell center as WKB in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_centeraswkb
Get H3 cell center as WKT in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_centeraswkt
Compact H3 cell ID sets with h3_compact in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_compact
Cover geometries with H3 cells using h3_coverash3	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_coverash3
Cover geometries with H3 string IDs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_coverash3string
Compute grid distance between H3 cells in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_distance
Convert H3 cell IDs to hex strings in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_h3tostring
Generate H3 hexagonal rings with h3_hexring	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_hexring
Check H3 parent-child relationships with h3_ischildof	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_ischildof
Detect H3 pentagon cells with h3_ispentagon	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_ispentagon
Validate H3 cell IDs with h3_isvalid in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_isvalid
Find H3 cells within k-ring distance in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_kring
Get H3 k-ring cells with distances in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_kringdistances
Convert longitude/latitude to H3 int IDs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_longlatash3
Convert longitude/latitude to H3 string IDs in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_longlatash3string
Get maximum child H3 cell at resolution in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_maxchild
Use h3_minchild PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_minchild
Convert point geography to H3 ID in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_pointash3
Return H3 ID string from point in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_pointash3string
Fill polygon with H3 cell IDs in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_polyfillash3
Fill polygon with string H3 IDs in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_polyfillash3string
Get H3 cell resolution with PySpark function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_resolution
Convert H3 ID string to integer in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_stringtoh3
Tessellate geography into H3 WKB chips in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_tessellateaswkb
Get child H3 cells from parent in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_tochildren
Get parent H3 cell at resolution in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_toparent
Cover geography minimally with H3 IDs in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_coverash3
Cover geography with string H3 IDs in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_coverash3string
Compute H3 grid distance safely in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_distance
Polyfill polygon with H3 IDs safely in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_polyfillash3
Polyfill polygon with string H3 IDs in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_polyfillash3string
Tessellate geography to H3 WKB chips safely	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_tessellateaswkb
Validate H3 cell IDs safely in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_try_validate
Uncompact H3 cell sets to resolution in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_uncompact
Validate H3 cell IDs with strict errors	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/h3_validate
Use hash column function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hash
Convert values to hex with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hex
Compute numeric histograms with PySpark function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/histogram_numeric
Create HllSketch aggregates with PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hll_sketch_agg
Estimate cardinality from HllSketch in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hll_sketch_estimate
Union HllSketch binaries with PySpark function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hll_union
Aggregate union of HllSketches in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hll_union_agg
Extract hour from timestamp in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hour
Partition data by hour using PySpark transform	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hours
Compute hypot function safely in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/hypot
Use ifnull for null coalescing in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ifnull
Perform case-insensitive LIKE matching in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ilike
Capitalize words with initcap in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/initcap
Explode array of structs with inline in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/inline
Explode arrays with null handling via inline_outer	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/inline_outer
Get input file block length in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/input_file_block_length
Get input file block start offset in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/input_file_block_start
Retrieve current input file name in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/input_file_name
Find substring position with instr in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/instr
Use length PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/length
Compute Levenshtein distance with Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/levenshtein
Pattern matching with like in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/like
Aggregate values using listagg in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/listagg
Use listagg_distinct for distinct aggregation in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/listagg_distinct
Create literal columns with lit in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/lit
Calculate natural logarithms with Databricks PySpark ln	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ln
Get query-start timestamps with localtimestamp in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/localtimestamp
Find substring positions using locate in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/locate
Use log function for logarithms in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/log
Compute base-10 logarithms with log10 in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/log10
Use log1p for log(1+x) in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/log1p
Compute base-2 logarithms with log2 in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/log2
Convert strings to lowercase with Databricks PySpark lower	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/lower
Left-pad strings using lpad in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/lpad
Trim leading spaces with ltrim in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ltrim
Build dates from components with make_date in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_date
Create DayTimeIntervalType with make_dt_interval in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_dt_interval
Construct intervals from components with make_interval in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_interval
Create time values with make_time in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_time
Create timestamps with make_timestamp in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_timestamp
Create local-timezone timestamps with make_timestamp_ltz	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_timestamp_ltz
Create local date-times with make_timestamp_ntz in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_timestamp_ntz
Sanitize invalid UTF-8 with make_valid_utf8 in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_valid_utf8
Create year-month intervals with make_ym_interval in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/make_ym_interval
Merge maps with map_concat and key dedup policy in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_concat
Check map keys with map_contains_key in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_contains_key
List map entries with map_entries in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_entries
Filter map key-value pairs with map_filter in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_filter
Build maps from arrays with map_from_arrays in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_from_arrays
Transform key-value arrays to maps with map_from_entries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_from_entries
Extract map keys with map_keys in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_keys
Extract map values with map_values in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_values
Merge maps with custom logic using map_zip_with in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/map_zip_with
Mask sensitive strings with mask function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/mask
Compute group maximums with max in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/max
Select values by maximum ordering with max_by in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/max_by
Generate MD5 hashes with md5 in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/md5
Calculate averages with mean (avg) in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/mean
Compute median values in groups with Databricks PySpark median	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/median
Use PySpark round function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/round
Apply row_number window function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/row_number
Right-pad strings with rpad in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/rpad
Trim right-side spaces using rtrim in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/rtrim
Infer CSV schema with schema_of_csv in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/schema_of_csv
Infer JSON schema with schema_of_json in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/schema_of_json
Get variant schema using schema_of_variant in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/schema_of_variant
Aggregate variant schemas with schema_of_variant_agg in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/schema_of_variant_agg
Infer XML schema with schema_of_xml in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/schema_of_xml
Compute secant with sec function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sec
Extract seconds from dates using second in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/second
Split text into sentences with sentences in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sentences
Generate integer ranges with sequence in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sequence
Retrieve current session_user in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/session_user
Use session_window for dynamic streaming windows in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/session_window
Compute SHA hash with sha in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sha
Generate SHA-1 hashes with sha1 in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sha1
Use sha2 for SHA-2 family hashing in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sha2
Shift bits left with shiftleft in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/shiftleft
Signed right bit shift with shiftright in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/shiftright
Unsigned right bit shift with shiftrightunsigned in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/shiftrightunsigned
Randomly permute arrays with shuffle in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/shuffle
Compute sign with sign function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sign
Compute signum with signum in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/signum
Compute sine with sin function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sin
Compute hyperbolic sine with sinh in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sinh
Get array or map length with size in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/size
Calculate skewness aggregation in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/skewness
Slice arrays with slice function in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/slice
Evaluate boolean any with some in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/some
Sort arrays with sort_array in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sort_array
Compute SoundEx codes with soundex in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/soundex
Access Spark partition IDs with spark_partition_id in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/spark_partition_id
Split strings with regex using split in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/split
Extract string segments with split_part in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/split_part
Compute square roots with sqrt in Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sqrt
Modify geospatial linestrings with st_addpoint in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_addpoint
Compute geospatial area with st_area in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_area
Convert geospatial data to WKB with st_asbinary in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_asbinary
Use st_asewkb PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_asewkb
Use st_asewkt PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_asewkt
Use st_asgeojson PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_asgeojson
Use st_astext PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_astext
Use st_aswkb PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_aswkb
Use st_aswkt PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_aswkt
Use st_azimuth PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_azimuth
Use st_boundary PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_boundary
Use st_buffer PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_buffer
Use st_centroid PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_centroid
Use st_closestpoint PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_closestpoint
Use st_concavehull PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_concavehull
Use st_contains PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_contains
Use st_convexhull PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_convexhull
Use st_covers PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_covers
Use st_difference PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_difference
Use st_dimension PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_dimension
Use st_disjoint PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_disjoint
Use st_distance PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_distance
Use st_distancesphere PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_distancesphere
Use st_distancespheroid PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_distancespheroid
Use st_dump PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_dump
Use st_dwithin PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_dwithin
Use st_endpoint PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_endpoint
Use st_envelope PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_envelope
Use st_envelope_agg PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_envelope_agg
Use st_equals PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_equals
Use st_exteriorring PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_exteriorring
Use st_flipcoordinates PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_flipcoordinates
Use st_geogfromewkt PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geogfromewkt
Use st_geogfromgeojson PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geogfromgeojson
Use st_geogfromtext PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geogfromtext
Use st_geogfromwkb PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geogfromwkb
Use st_geogfromwkt PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geogfromwkt
Use st_geohash PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geohash
Use st_geometryn PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geometryn
Use st_geometrytype PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geometrytype
Use st_geomfromewkb PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromewkb
Use st_geomfromewkt PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromewkt
Use st_geomfromgeohash PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromgeohash
Use st_geomfromgeojson in Azure Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromgeojson
Use st_geomfromtext in Azure Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromtext
Use st_geomfromwkb in Azure Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromwkb
Use st_geomfromwkt in Azure Databricks PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_geomfromwkt
Use st_interiorringn for polygon rings in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_interiorringn
Use st_intersection for geometry intersections in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_intersection
Use st_intersects to test geometry intersections	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_intersects
Use st_isempty to check empty geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_isempty
Use st_isvalid to validate geometries in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_isvalid
Use st_length to measure geometry length	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_length
Use st_m to read M coordinate from points	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_m
Use st_makeline to build linestrings from geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_makeline
Use st_makepolygon to construct polygons in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_makepolygon
Use st_multi to convert to multi geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_multi
Use st_ndims to get geometry coordinate dimensions	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_ndims
Use st_npoints to count points in geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_npoints
Use st_numgeometries to count sub-geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_numgeometries
Use st_numinteriorrings to count polygon holes	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_numinteriorrings
Use st_perimeter to compute geometry perimeter	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_perimeter
Use st_point to create point geometries with SRID	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_point
Use st_pointfromgeohash to get geohash centers	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_pointfromgeohash
Use st_pointn to access nth point in linestrings	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_pointn
Use st_removepoint to modify linestring geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_removepoint
Use st_reverse to reverse geometry vertex order	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_reverse
Use st_rotate to rotate geometries around Z axis	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_rotate
Use st_scale to scale geometries in X, Y, Z	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_scale
Use st_setpoint to update points in linestrings	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_setpoint
Use st_setsrid to change geometry SRID	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_setsrid
Use st_simplify to simplify geometries in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_simplify
Use st_srid to read geometry SRID values	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_srid
Use st_startpoint to get first point of linestring	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_startpoint
Use st_touches to test touching geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_touches
Use st_transform to change geometry CRS in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_transform
Use st_translate to offset geometries in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_translate
Use st_union to compute union of geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_union
Use st_union_agg to aggregate geometry unions	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_union_agg
Use st_within to test geometry containment	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_within
Use st_x to read X coordinate from points	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_x
Use st_xmax to get maximum X of geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_xmax
Use st_xmin to get minimum X of geometries	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_xmin
Use st_y PySpark function for geometry Y coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_y
Use st_ymax PySpark function for max Y coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_ymax
Use st_ymin PySpark function for min Y coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_ymin
Use st_z PySpark function for geometry Z coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_z
Use st_zmax PySpark function for max Z coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_zmax
Use st_zmin PySpark function for min Z coordinate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/st_zmin
Apply stack PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/stack
Use startswith PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/startswith
Use std aggregate PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/std
Use stddev PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/stddev
Use stddev_pop PySpark aggregate in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/stddev_pop
Use stddev_samp PySpark aggregate in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/stddev_samp
Convert strings to maps with str_to_map in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/str_to_map
Aggregate strings with string_agg in PySpark Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/string_agg
Use string_agg_distinct for distinct string aggregation	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/string_agg_distinct
Create struct columns with PySpark struct in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/struct
Extract substrings with substr PySpark function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/substr
Use substring PySpark function with 1-based indexing	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/substring
Use substring_index PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/substring_index
Compute sums with sum aggregate in PySpark Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sum
Use sum_distinct aggregate in PySpark Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/sum_distinct
Compute tangent with tan PySpark function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tan
Compute hyperbolic tangent with tanh in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tanh
Compute Theta Sketch set difference with theta_difference	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_difference
Compute Theta Sketch intersection with theta_intersection	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_intersection
Aggregate Theta Sketch intersections with theta_intersection_agg	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_intersection_agg
Build Theta Sketch aggregates with theta_sketch_agg	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_sketch_agg
Estimate unique counts with theta_sketch_estimate	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_sketch_estimate
Merge Theta Sketches with theta_union in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_union
Aggregate Theta Sketch unions with theta_union_agg	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/theta_union_agg
Calculate time differences with time_diff in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_diff
Create TIME values from microseconds with time_from_micros	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_from_micros
Create TIME values from milliseconds with time_from_millis	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_from_millis
Create TIME values from seconds with time_from_seconds	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_from_seconds
Extract microseconds from TIME with time_to_micros	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_to_micros
Extract milliseconds from TIME with time_to_millis	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_to_millis
Extract seconds from TIME with time_to_seconds	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_to_seconds
Truncate TIME values by unit with time_trunc	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/time_trunc
Use timestamp_add to compute timestamp differences	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/timestamp_add
Use timestamp_diff PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/timestamp_diff
Create timestamps from microseconds with timestamp_micros	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/timestamp_micros
Create timestamps from milliseconds with timestamp_millis	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/timestamp_millis
Convert Unix seconds to timestamp with timestamp_seconds	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/timestamp_seconds
Convert values to binary with to_binary in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_binary
Format values as strings using to_char in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_char
Serialize structs to CSV with to_csv in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_csv
Convert columns to dates with to_date in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_date
Parse binary or text to Geography with to_geography	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_geography
Parse binary or text to Geometry with to_geometry	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_geometry
Convert complex columns to JSON with to_json	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_json
Parse formatted strings to numbers with to_number	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_number
Convert columns to TimeType with to_time in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_time
Convert columns to TimestampType with to_timestamp	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_timestamp
Parse timestamps with time zone using to_timestamp_ltz	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_timestamp_ltz
Parse timestamps without time zone using to_timestamp_ntz	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_timestamp_ntz
Get UNIX timestamps with to_unix_timestamp in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_unix_timestamp
Convert local timestamps to UTC with to_utc_timestamp	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_utc_timestamp
Format values as VARCHAR using to_varchar in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_varchar
Convert nested columns to variant objects with to_variant_object	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_variant_object
Serialize structs to XML with to_xml in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/to_xml
Transform array elements with transform function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/transform
Transform map keys with transform_keys in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/transform_keys
Transform map values with transform_values in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/transform_values
Translate characters in strings with translate in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/translate
Trim whitespace from strings with trim in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/trim
Truncate dates to units with trunc in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/trunc
Safely add values with try_add in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_add
Decrypt values safely with try_aes_decrypt in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_aes_decrypt
Compute averages safely with try_avg in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_avg
Safely divide values with try_divide in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_divide
Safely access array or map elements with try_element_at	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_element_at
Safely build intervals with try_make_interval in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_make_interval
Safely construct timestamps with try_make_timestamp	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_make_timestamp
Safely construct LTZ timestamps with try_make_timestamp_ltz	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_make_timestamp_ltz
Safely construct NTZ timestamps with try_make_timestamp_ntz	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_make_timestamp_ntz
Safely compute remainders with try_mod in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_mod
Safely multiply values with try_multiply in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_multiply
Safely parse JSON strings to Variant with try_parse_json	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_parse_json
Safely parse URLs with try_parse_url in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_parse_url
Use try_reflect PySpark function in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_reflect
Use try_subtract PySpark function with overflow handling	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_subtract
Use try_sum PySpark aggregate with overflow safety	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_sum
Convert data safely with try_to_binary in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_binary
Convert values to dates using try_to_date in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_date
Parse geography values with try_to_geography in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_geography
Parse geometry values with try_to_geometry in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_geometry
Convert formatted strings to numbers with try_to_number	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_number
Convert columns to TimeType using try_to_time in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_time
Parse timestamps with try_to_timestamp in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_to_timestamp
Decode URLs safely with try_url_decode in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_url_decode
Validate UTF-8 strings using try_validate_utf8 in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_validate_utf8
Extract sub-variants safely with try_variant_get in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_variant_get
Decompress Zstandard data with try_zstd_decompress in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/try_zstd_decompress
List available Spark SQL collations in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-collations
Use TableValuedFunction.inline to explode structs	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-inline
Use TableValuedFunction.inline_outer with null arrays	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-inline_outer
List Spark SQL reserved words with sql_keywords in Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-sql_keywords
Use TableValuedFunction.stack in PySpark Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-stack
Explode variant arrays/objects with variant_explode TVF	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-variant_explode
Explode variant data with variant_explode_outer TVF	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/tvf-variant_explode_outer
Get DDL-formatted type strings with typeof in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/typeof
Convert strings to uppercase using ucase in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/ucase
Create and use PySpark UDFs in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/udf
Create user-defined table functions (UDTF) in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/udtf
Decode Base64 strings with unbase64 in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unbase64
Convert hex strings to bytes using unhex in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unhex
Generate uniform random values with uniform in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/uniform
Get days since epoch using unix_date in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unix_date
Get microseconds since epoch with unix_micros in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unix_micros
Get milliseconds since epoch with unix_millis in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unix_millis
Get seconds since epoch with unix_seconds in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unix_seconds
Convert time strings to Unix timestamps with unix_timestamp	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unix_timestamp
Unwrap PySpark UDT columns to underlying types	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/unwrap_udt
Convert strings to uppercase using upper in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/upper
Decode URL-encoded strings with url_decode in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/url_decode
Encode strings as URLs with url_encode in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/url_encode
Get current Databricks user with user PySpark function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/user
Generate UUID strings using uuid in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/uuid
Validate UTF-8 strings with validate_utf8 in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/validate_utf8
Compute population variance with var_pop in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/var_pop
Compute sample variance with var_samp in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/var_samp
Use variance alias for var_samp in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/variance
Extract sub-variants with variant_get in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/variant_get
Get Spark version information with version in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/version
Use Databricks PySpark weekday date function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/weekday
Use Databricks PySpark weekofyear function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/weekofyear
Apply conditional logic with PySpark when	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/when
Bucket numeric values with width_bucket in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/width_bucket
Create time windows with PySpark window function	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/window
Compute event time using window_time in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/window_time
Extract XML values with PySpark xpath	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath
Evaluate XML XPath to boolean in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_boolean
Get numeric XML values with xpath_double	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_double
Get numeric XML values with xpath_float	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_float
Get integer XML values with xpath_int	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_int
Get long XML values with xpath_long	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_long
Get numeric XML values with xpath_number	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_number
Get short XML values with xpath_short	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_short
Extract XML text with xpath_string in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xpath_string
Hash columns with xxhash64 in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/xxhash64
Extract year from dates with PySpark year	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/year
Partition data by year with PySpark years	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/years
Replace nulls with zero using zeroifnull in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/zeroifnull
Merge arrays element-wise with zip_with in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/zip_with
Compress data with zstd_compress in PySpark	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/zstd_compress
Decompress Zstandard data with zstd_decompress	https://learn.microsoft.com/en-us/azure/databricks/pyspark/reference/functions/zstd_decompress
Configure Lakehouse Federation for Google BigQuery	https://learn.microsoft.com/en-us/azure/databricks/query-federation/bigquery
Federate Databricks queries to generic HTTP APIs	https://learn.microsoft.com/en-us/azure/databricks/query-federation/http
Set up Lakehouse Federation for MySQL	https://learn.microsoft.com/en-us/azure/databricks/query-federation/mysql
Set up Lakehouse Federation for Oracle databases	https://learn.microsoft.com/en-us/azure/databricks/query-federation/oracle
Set up Lakehouse Federation for PostgreSQL	https://learn.microsoft.com/en-us/azure/databricks/query-federation/postgresql
Set up Lakehouse Federation for Amazon Redshift	https://learn.microsoft.com/en-us/azure/databricks/query-federation/redshift
Use remote_query to run SQL on external databases	https://learn.microsoft.com/en-us/azure/databricks/query-federation/remote-queries
Run federated queries on Salesforce Data 360	https://learn.microsoft.com/en-us/azure/databricks/query-federation/salesforce-data-cloud
Set up Lakehouse Federation for SQL Server and Azure SQL	https://learn.microsoft.com/en-us/azure/databricks/query-federation/sql-server
Configure Lakehouse Federation for Azure Synapse	https://learn.microsoft.com/en-us/azure/databricks/query-federation/sqldw
Set up Lakehouse Federation for Teradata	https://learn.microsoft.com/en-us/azure/databricks/query-federation/teradata
Read and write Avro files in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/avro
Read binary files using Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/binary
Read CSV files in Azure Databricks with read_files	https://learn.microsoft.com/en-us/azure/databricks/query/formats/csv
Read Delta Sharing tables with Spark DataFrames	https://learn.microsoft.com/en-us/azure/databricks/query/formats/deltasharing
Read Excel files using built-in Databricks support	https://learn.microsoft.com/en-us/azure/databricks/query/formats/excel
Load image data with Databricks image and binary formats	https://learn.microsoft.com/en-us/azure/databricks/query/formats/image
Read JSON files with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/json
Load MLflow experiment run data in Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/mlflow-experiment
Use ORC file format with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/orc
Read Parquet files using Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/parquet
Process text files using Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/text
Read and write XML files in Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/query/formats/xml
Access Delta Lake API references from Databricks	https://learn.microsoft.com/en-us/azure/databricks/reference/delta-lake
Use MLflow REST APIs on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/reference/mlflow-api
Integrate Git repositories with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/repos/
Configure KMS encryption for S3 paths in Databricks	https://learn.microsoft.com/en-us/azure/databricks/security/keys/kms-s3
Query JSON string data with Databricks SQL operators	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/json
Query semi-structured VARIANT data in Databricks	https://learn.microsoft.com/en-us/azure/databricks/semi-structured/variant
Work with R and Spark DataFrames on Databricks	https://learn.microsoft.com/en-us/azure/databricks/sparkr/dataframes-tables
Integrate Shiny applications with Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/sparkr/shiny
Develop Spark workloads in R using sparklyr	https://learn.microsoft.com/en-us/azure/databricks/sparkr/sparklyr
Migrate to the latest Databricks SQL REST API	https://learn.microsoft.com/en-us/azure/databricks/sql/dbsql-api-latest
Convert Parquet tables to Delta with SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-convert-to-delta
Load files into Delta tables with COPY INTO	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-copy-into
Delete rows from Delta tables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-delete-from
Drop Delta Lake Bloom filter indexes in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-drop-bloomfilter-index
Generate Delta table artifacts with GENERATE	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-generate
Merge data into Delta tables with MERGE INTO	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-merge-into
Restore Delta tables to previous versions	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-restore
Update Delta tables using Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/delta-update
Use abs numeric function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/abs
Use acos trigonometric function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/acos
Use acosh hyperbolic function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/acosh
Use add_months date function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/add_months
Use ai_analyze_sentiment SQL function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_analyze_sentiment
Classify text with ai_classify in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_classify
Extract entities using ai_extract in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_extract
Fix grammar with ai_fix_grammar in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_fix_grammar
Forecast time series with ai_forecast in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_forecast
Generate text with ai_gen in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_gen
Use deprecated ai_generate_text function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_generate_text
Mask sensitive entities with ai_mask in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_mask
Parse documents using ai_parse_document in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_parse_document
Call model serving endpoints with ai_query in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_query
Compute semantic similarity with ai_similarity in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_similarity
Summarize text using ai_summarize in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_summarize
Translate text with ai_translate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ai_translate
Use CASE expression in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/case
Cast values between types in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cast
Compute cube root with cbrt in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cbrt
Round numbers up using ceil in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ceil
Round numbers up using ceiling in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ceiling
Return UTF-16 character with char in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/char
Measure string length with char_length in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/char_length
Measure string length with character_length in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/character_length
Return UTF-16 character with chr in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/chr
Inspect Auto Loader file state with cloud_files_state	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cloud_files_state
Return first non-null value with coalesce in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/coalesce
Apply explicit collation using collate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/collate
Retrieve string collation with collation function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/collation
List supported collations with collations table function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/collations
Aggregate values into arrays with collect_list in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/collect_list
Aggregate unique values with collect_set in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/collect_set
Use :: operator for type casting in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/coloncolonsign
Extract JSON content with : operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/colonsign
Concatenate values with concat in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/concat
Concatenate strings with separator using concat_ws	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/concat_ws
Check substring presence with contains in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/contains
Convert number bases with conv in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/conv
Convert timestamps between time zones in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/convert_timezone
Compute Pearson correlation with corr in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/corr
Calculate cosine values with cos in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cos
Calculate hyperbolic cosine with cosh in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cosh
Calculate cotangent with cot in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cot
Count rows and values with count in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/count
Count true conditions with count_if in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/count_if
Build count-min sketch aggregates in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/count_min_sketch
Compute population covariance with covar_pop in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/covar_pop
Compute sample covariance with covar_samp in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/covar_samp
Generate CRC32 checksums with crc32 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/crc32
Calculate cosecant with csc in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/csc
Create multi-dimensional cubes with cube in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cube
Compute cumulative distribution with cume_dist window function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/cume_dist
Get current date with curdate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/curdate
Return active catalog with current_catalog in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/current_catalog
Return active schema with current_database in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/current_database
Get current date with current_date in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/current_date
Use h3_centeraswkt for H3 cell centers in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_centeraswkt
Compact H3 cell sets with h3_compact in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_compact
Cover geography with H3 cells using h3_coverash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_coverash3
Cover geography with H3 strings using h3_coverash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_coverash3string
Compute H3 grid distance with h3_distance in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_distance
Convert H3 IDs to hex strings with h3_h3tostring	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_h3tostring
Generate H3 hexagonal rings with h3_hexring in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_hexring
Check H3 parent-child relationships with h3_ischildof	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_ischildof
Detect pentagonal H3 cells with h3_ispentagon in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_ispentagon
Validate H3 cell IDs with h3_isvalid in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_isvalid
Get H3 k-ring neighborhoods with h3_kring in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_kring
Return H3 k-ring cells and distances with h3_kringdistances	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_kringdistances
Convert longitude/latitude to H3 IDs with h3_longlatash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_longlatash3
Convert longitude/latitude to H3 hex strings with h3_longlatash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_longlatash3string
Get maximum child H3 cell with h3_maxchild in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_maxchild
Get minimum child H3 cell with h3_minchild in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_minchild
Convert geometry points to H3 IDs with h3_pointash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_pointash3
Convert geometry points to H3 strings with h3_pointash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_pointash3string
Fill polygons with H3 IDs using h3_polyfillash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_polyfillash3
Fill polygons with H3 strings using h3_polyfillash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_polyfillash3string
Get H3 cell resolution with h3_resolution in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_resolution
Convert H3 hex strings to IDs with h3_stringtoh3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_stringtoh3
Tessellate geography into H3 cells with h3_tessellateaswkb	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_tessellateaswkb
List child H3 cells at resolution with h3_tochildren	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_tochildren
Get parent H3 cell at resolution with h3_toparent	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_toparent
Safely cover geography with H3 IDs using h3_try_coverash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_coverash3
Safely cover geography with H3 strings using h3_try_coverash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_coverash3string
Safely compute H3 grid distance with h3_try_distance	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_distance
Safely polyfill polygons with H3 IDs using h3_try_polyfillash3	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_polyfillash3
Safely polyfill polygons with H3 strings using h3_try_polyfillash3string	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_polyfillash3string
Safely tessellate geography into H3 cells with h3_try_tessellateaswkb	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_tessellateaswkb
Validate H3 IDs safely with h3_try_validate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_try_validate
Uncompact H3 cell sets with h3_uncompact in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_uncompact
Strictly validate H3 IDs with h3_validate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/h3_validate
Compute hash values with hash function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hash
Convert expressions to hexadecimal with hex in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hex
Compute numeric histograms with histogram_numeric aggregate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/histogram_numeric
Create HyperLogLog sketch buffers with hll_sketch_agg in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hll_sketch_agg
Estimate unique counts from HLL sketches with hll_sketch_estimate	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hll_sketch_estimate
Union HyperLogLog sketches with hll_union in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hll_union
Use hll_union_agg for HyperLogLog sketches in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/hll_union_agg
Call external HTTP endpoints with Databricks SQL http_request	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/http_request
Explode array-of-structs with inline in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/inline
Use inline_outer for outer explode of structs in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/inline_outer
Invoke Java methods from Databricks SQL with java_method	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/java_method
Extract multiple JSON fields with json_tuple in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/json_tuple
Aggregate integer KLL sketches with kll_merge_agg_bigint	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_merge_agg_bigint
Aggregate double KLL sketches with kll_merge_agg_double	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_merge_agg_double
Aggregate float KLL sketches with kll_merge_agg_float	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_merge_agg_float
Create KLL sketches for bigint quantiles in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_agg_bigint
Create KLL sketches for double quantiles in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_agg_double
Create KLL sketches for float quantiles in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_agg_float
Get item count from bigint KLL sketch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_n_bigint
Get item count from double KLL sketch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_n_double
Get item count from float KLL sketch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_n_float
Estimate quantiles from bigint KLL sketch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_quantile_bigint
Estimate quantiles from double KLL sketch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_quantile_double
Use kll_sketch_get_quantile_float in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_quantile_float
Use kll_sketch_get_rank_bigint in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_rank_bigint
Use kll_sketch_get_rank_double in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_rank_double
Use kll_sketch_get_rank_float in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_get_rank_float
Merge integer KLL sketches with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_merge_bigint
Merge double KLL sketches with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_merge_double
Merge float KLL sketches with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_merge_float
Debug integer KLL sketches with kll_sketch_to_string_bigint	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_to_string_bigint
Debug double KLL sketches with kll_sketch_to_string_double	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_to_string_double
Debug float KLL sketches with kll_sketch_to_string_float	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kll_sketch_to_string_float
Calculate kurtosis with Databricks SQL aggregate function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/kurtosis
Use lag analytic window function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lag
Use last aggregate function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/last
Get month end dates with last_day in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/last_day
Use last_value aggregate function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/last_value
Convert strings to lowercase with lcase in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lcase
Use lead analytic window function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lead
Return minimum values with least in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/least
Extract left substring with left function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/left
Measure string length with len in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/len
Measure string length with length in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/length
Compute Levenshtein distance with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/levenshtein
Pattern matching with like operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/like
Concatenate values with listagg aggregate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/listagg
Compute natural logarithms with ln in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ln
Find substring positions with locate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/locate
Compute logarithms with log function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/log
Compute base-10 logarithms with log10 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/log10
Use log1p for log(1+x) in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/log1p
Compute base-2 logarithms with log2 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/log2
Convert strings to lowercase with lower in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lower
Left-pad strings with lpad in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lpad
Use null-safe equality <=> operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lteqgtsign
Use <= comparison operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/lteqsign
Use <> inequality operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ltgtsign
Trim leading characters with ltrim in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ltrim
Parse strings and Unix timestamps to TIMESTAMP in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/parse_timestamp
Use read_files table function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_files
Read Kafka data with Databricks SQL read_kafka	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_kafka
Stream from Kinesis using Databricks read_kinesis	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_kinesis
Stream from Pub/Sub using Databricks read_pubsub	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_pubsub
Stream from Pulsar using Databricks read_pulsar	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_pulsar
Read streaming state metadata with read_state_metadata	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_state_metadata
Access streaming state store via read_statestore	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/read_statestore
Query remote databases using Databricks remote_query	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/remote_query
Use schema_of_json_agg in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/schema_of_json_agg
Derive VARIANT schemas with schema_of_variant	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/schema_of_variant
Aggregate VARIANT schemas with schema_of_variant_agg	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/schema_of_variant_agg
Infer XML schemas using schema_of_xml in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/schema_of_xml
Calculate secant with sec in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sec
Extract seconds from timestamps with second	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/second
Split text into sentences with Databricks sentences	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sentences
Generate value ranges with sequence in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sequence
Group streaming data with session_window in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/session_window
Perform bitwise left shifts with shiftleft in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/shiftleft
Perform signed right shifts with shiftright in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/shiftright
Perform unsigned right shifts with shiftrightunsigned	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/shiftrightunsigned
Randomize array order with shuffle in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/shuffle
Determine numeric sign with sign in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sign
Determine numeric sign with signum in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/signum
Compute sine values with sin in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sin
Compute hyperbolic sine with sinh in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sinh
Get array or map length with size in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/size
Calculate distribution skewness with skewness aggregate	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/skewness
Use division operator in Databricks SQL expressions	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/slashsign
Extract array subsets with slice in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/slice
Cast values to SMALLINT with smallint in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/smallint
Evaluate boolean aggregates with some/any/bool_or	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/some
Sort arrays with sort_array in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sort_array
Generate phonetic codes with soundex in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/soundex
Create space-filled strings with space in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/space
Identify Spark partition with spark_partition_id in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/spark_partition
Split strings by regex with split in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/split
Extract delimited string parts with split_part	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/split_part
Compute square roots with sqrt in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sqrt
Modify linestrings with st_addpoint in Databricks geospatial	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_addpoint
Compute area of geospatial shapes with st_area	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_area
Export geospatial data as WKB with st_asbinary	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_asbinary
Export geometry as EWKB with st_asewkb in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_asewkb
Access n-th geometry with st_geometryn in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_geometryn
Get geometry type with st_geometrytype in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_geometrytype
Use st_geomfromwkt in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_geomfromwkt
Return polygon interior ring with st_interiorringn	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_interiorringn
Compute geometry intersection with st_intersection	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_intersection
Test geometry intersection with st_intersects in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_intersects
Check empty geospatial values with st_isempty	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_isempty
Validate geometries with st_isvalid in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_isvalid
Measure geospatial length with st_length in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_length
Get M coordinate from point with st_m	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_m
Build linestrings from points using st_makeline	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_makeline
Construct polygons from rings with st_makepolygon	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_makepolygon
Convert to multi-geometry with st_multi in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_multi
Get coordinate dimension with st_ndims in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_ndims
Count points in geospatial values with st_npoints	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_npoints
Count geometries in collections with st_numgeometries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_numgeometries
Get polygon interior ring count with st_numinteriorrings	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_numinteriorrings
Compute geospatial perimeter with st_perimeter in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_perimeter
Create point geometries with st_point in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_point
Convert geohash to point with st_pointfromgeohash	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_pointfromgeohash
Access n-th point in linestring with st_pointn	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_pointn
Remove points from linestrings with st_removepoint	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_removepoint
Reverse geospatial geometries with st_reverse	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_reverse
Rotate geometries around Z axis with st_rotate	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_rotate
Scale geometries in Databricks with st_scale	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_scale
Set linestring points with st_setpoint in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_setpoint
Assign SRID to geospatial values with st_setsrid	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_setsrid
Simplify geometries with st_simplify in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_simplify
Retrieve SRID from geospatial values with st_srid	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_srid
Get starting point of linestring with st_startpoint	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_startpoint
Test if geometries touch with st_touches in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_touches
Transform geometry CRS with st_transform in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_transform
Translate geometries with st_translate in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_translate
Union two geometries with st_union in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_union
Aggregate geometry unions with st_union_agg in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_union_agg
Test geometry containment with st_within in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_within
Get X coordinate from point with st_x in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_x
Get maximum X of geometry with st_xmax	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_xmax
Get minimum X of geometry with st_xmin	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_xmin
Get Y coordinate from point with st_y in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_y
Use st_ymax geometry function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_ymax
Use st_ymin geometry function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_ymin
Use st_z point geometry function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_z
Use st_zmax geometry function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_zmax
Use st_zmin geometry function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/st_zmin
Generate rows with stack table-valued function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/stack
Use startswith string function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/startswith
Calculate sample standard deviation with std in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/std
Calculate sample standard deviation with stddev in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/stddev
Calculate population standard deviation with stddev_pop	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/stddev_pop
Calculate sample standard deviation with stddev_samp	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/stddev_samp
Create maps from strings with str_to_map in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/str_to_map
Cast expressions to STRING with string function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/string
Aggregate strings with string_agg in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/string_agg
Build STRUCT values with struct function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/struct
Extract substrings with substr function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/substr
Extract substrings with substring function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/substring
Use substring_index to split strings in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/substring_index
Compute sums with sum aggregate function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/sum
Query Delta Lake change data with table_changes in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/table_changes
Compute tangent values with tan function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tan
Compute hyperbolic tangent with tanh in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tanh
Compute Theta Sketch set difference in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_difference
Compute Theta Sketch intersection in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_intersection
Aggregate Theta Sketch intersections with theta_intersection_agg	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_intersection_agg
Create Theta Sketches for approximate distinct counts in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_sketch_agg
Estimate unique counts from Theta Sketches in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_sketch_estimate
Union Theta Sketches with theta_union in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_union
Aggregate Theta Sketch unions with theta_union_agg in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/theta_union_agg
Use bitwise NOT (~) operator in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tildesign
Compute timestamp differences with timediff in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timediff
Cast expressions to TIMESTAMP with timestamp function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestamp
Create timestamps from microseconds since epoch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestamp_micros
Create timestamps from milliseconds since epoch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestamp_millis
Create timestamps from seconds since epoch in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestamp_seconds
Add time units to timestamps with timestampadd in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestampadd
Compute timestamp differences with timestampdiff in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/timestampdiff
Cast expressions to TINYINT with tinyint function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tinyint
Serialize values to Avro with to_avro in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/to_avro
Use try_validate_utf8 in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/try_validate_utf8
Extract values with try_variant_get in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/try_variant_get
Decompress data with try_zstd_decompress in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/try_zstd_decompress
Compute TupleSketch difference with double summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_difference_double
Compute TupleSketch difference with integer summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_difference_integer
Aggregate TupleSketch intersection with double summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_intersection_agg_double
Aggregate TupleSketch intersection with integer summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_intersection_agg_integer
Use tuple_intersection_double for TupleSketch sets	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_intersection_double
Use tuple_intersection_integer for TupleSketch sets	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_intersection_integer
Build TupleSketch aggregates with double summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_agg_double
Build TupleSketch aggregates with integer summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_agg_integer
Estimate unique keys from TupleSketch (double)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_estimate_double
Estimate unique keys from TupleSketch (integer)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_estimate_integer
Summarize TupleSketch double summary values	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_summary_double
Summarize TupleSketch integer summary values	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_summary_integer
Get theta sampling rate from TupleSketch (double)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_theta_double
Get theta sampling rate from TupleSketch (integer)	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_sketch_theta_integer
Union multiple TupleSketches with double summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_union_agg_double
Union multiple TupleSketches with integer summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_union_agg_integer
Union two TupleSketches with double summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_union_double
Union two TupleSketches with integer summaries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/tuple_union_integer
Determine expression data type with typeof in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/typeof
Convert strings to uppercase with ucase in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/ucase
Decode Base64 strings with unbase64 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unbase64
Convert hex strings to binary with unhex in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unhex
Generate uniform random numbers with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/uniform
Get days since epoch with unix_date in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unix_date
Get microseconds since epoch with unix_micros	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unix_micros
Get milliseconds since epoch with unix_millis	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unix_millis
Get seconds since epoch with unix_seconds	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unix_seconds
Work with UNIX timestamps using unix_timestamp	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/unix_timestamp
Convert strings to uppercase with upper in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/upper
Decode URL-encoded strings with url_decode in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/url_decode
Encode strings to URL format with url_encode	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/url_encode
Retrieve current user with user function in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/user
Generate UUID values with uuid function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/uuid
Validate UTF-8 strings with validate_utf8 in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/validate_utf8
Compute population variance with var_pop in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/var_pop
Compute sample variance with var_samp in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/var_samp
Compute sample variance with variance aggregate function	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/variance
Use variant_explode table function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/variant_explode
Use variant_explode_outer table function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/variant_explode_outer
Extract values with variant_get in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/variant_get
Query Mosaic AI Vector Search with vector_search()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/vector_search
Get Apache Spark version with version() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/version
Compute weekday values in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/weekday
Compute weekofyear in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/weekofyear
Use width_bucket histogram function in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/width_bucket
Define window grouping expressions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/window
Get window_time boundaries in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/window_time
Extract XML nodes with xpath() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath
Evaluate XML XPath booleans in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_boolean
Extract DOUBLE values from XML with xpath_double()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_double
Extract FLOAT values from XML with xpath_float()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_float
Extract INTEGER values from XML with xpath_int()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_int
Extract BIGINT values from XML with xpath_long()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_long
Extract numeric values from XML with xpath_number()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_number
Extract SMALLINT values from XML with xpath_short()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_short
Extract string values from XML with xpath_string()	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xpath_string
Compute 64-bit hashes with xxhash64 in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/xxhash64
Extract year component with year() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/year
Handle NULLs with zeroifnull() in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/zeroifnull
Merge arrays with zip_with() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/zip_with
Compress data with zstd_compress() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/zstd_compress
Decompress data with zstd_decompress() in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/functions/zstd_decompress
Build SQL expressions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-expression
Invoke built-in and user-defined functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-function-invocation
Create and register UDAFs in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-functions-udf-aggregate
Integrate Hive UDFs, UDAFs, and UDTFs with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-functions-udf-hive
Implement external scalar UDFs in Databricks Runtime	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-functions-udf-scalar
Use H3 geospatial functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-h3-geospatial-functions
Alphabetical reference of H3 functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-h3-geospatial-functions-alpha
Analyze flight data with H3 geospatial functions	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-h3-geospatial-functions-examples
Quickstart with H3 geospatial functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-h3-geospatial-functions-quickstart
Use JSON path expressions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-json-path-expression
Define and use lambda functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-lambda-functions
Understand NULL handling semantics in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-null-semantics
Use ST geospatial functions with GEOGRAPHY/GEOMETRY in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-st-geospatial-functions
Alphabetical reference of ST geospatial functions in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-st-geospatial-functions-alpha
Use REFRESH CACHE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-refresh
Use REFRESH FUNCTION in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-refresh-function
Use REFRESH TABLE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-refresh-table
Use UNCACHE TABLE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-cache-uncache-table
Describe catalogs with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-catalog
Describe connections in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-connection
Describe credentials in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-credential
Use DESCRIBE DATABASE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-database
Describe functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-function
Describe external locations in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-location
Describe procedures in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-procedure
Describe Delta Sharing providers in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-provider
Describe query output in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-query
Describe recipients in Databricks Delta Sharing	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-recipient
Describe schemas in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-schema
Describe Delta Sharing shares in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-share
Describe tables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-table
Describe Unity Catalog volumes in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-describe-volume
List objects at URLs in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-list
Show all objects in a Delta share	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-all-in-share
Show catalogs in Databricks Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-catalogs
Show table columns in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-columns
Show connections in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-connections
Show CREATE TABLE statements in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-create-table
Use SHOW DATABASES in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-databases
Show and discover functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-functions
Show external locations in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-locations
Show table partitions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-partitions
Show stored procedures in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-procedures
Show Delta Sharing providers in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-providers
Show Delta Sharing recipients in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-recipients
Show schemas in Databricks SQL catalogs	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-schemas
Show Delta Sharing shares in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-shares
Show provider shares in Databricks Delta Sharing	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-shares-in-provider
Show extended table information in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-table
Show tables in Databricks schemas	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-show-tables
Use SYNC to upgrade tables to Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-aux-sync
Add comments and hints in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-comment
Use Databricks SQL CREATE TABLE syntax correctly	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-table
Define views with Databricks SQL CREATE VIEW	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-view
Create Unity Catalog volumes with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-create-volume
Declare and use session variables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-declare-variable
Drop Unity Catalog catalogs with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-catalog
Drop Unity Catalog connections via Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-connection
Drop Unity Catalog credentials with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-credential
Drop databases (schemas) in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-database
Drop user-defined functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-function
Drop Unity Catalog external locations via SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-location
Drop Unity Catalog policies with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-policy
Drop user-defined procedures in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-procedure
Drop Delta Sharing providers with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-provider
Drop Delta Sharing recipients via Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-recipient
Drop schemas in Databricks SQL and Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-schema
Drop Delta Sharing shares with Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-share
Drop tables and metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-table
Drop temporary variables in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-variable
Drop views and clean metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-drop-view
Refresh materialized views and streaming tables	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-refresh-full
Repair tables and sync metadata in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-repair-table
Truncate tables and partitions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-ddl-truncate-table
Insert data into Databricks tables with SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-dml-insert-into
Insert overwrite directories in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-dml-insert-overwrite-directory
Insert overwrite directories using Hive SerDe	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-dml-insert-overwrite-directory-hive
Load data into Hive SerDe tables in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-dml-load
Inspect query plans with EXPLAIN in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-explain
Use EXPLAIN CREATE MATERIALIZED VIEW in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-explain-materialized-view
Compose Databricks SQL pipelines with chained operators	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-pipeline
Write SELECT queries in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-query
Write SELECT subqueries in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select
Use CLUSTER BY in Databricks SELECT queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-clusterby
Select and compute columns in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-column-list
Define common table expressions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-cte
Repartition data with DISTRIBUTE BY in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-distributeby
Use GROUP BY in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-groupby
Filter grouped results with HAVING in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-having
Use JOIN operations in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-join
Use LATERAL VIEW with generators in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-lateral-view
Limit query result rows in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-limit
Define reusable WINDOW specifications in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-named-window
Sort query results with ORDER BY in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-orderby
Use piped operations in Databricks SQL queries	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-pipeop
Transform rows to columns with PIVOT in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-pivot
Filter window function results with QUALIFY	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-qualify
Sample tables with TABLESAMPLE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-sampling
Use set operators in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-setops
Sort partitions with SORT BY in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-sortby
Reference tables and inline data in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-table-reference
Invoke table-valued functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-tvf
Convert columns to rows with UNPIVOT in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-unpivot
Create inline tables with VALUES in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-values
Apply WATERMARK to streaming queries in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-watermark
Filter query rows with WHERE in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-select-where
Use star expansion and metadata columns in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-qry-star
Configure window frame clauses in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-syntax-window-functions-frame
Use window functions in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/language-manual/sql-ref-window-functions
Implement query parameters in Databricks SQL editor	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-parameters
Create and use query snippets in Databricks SQL	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/query-snippets
Work with SQL warehouse sessions in Databricks	https://learn.microsoft.com/en-us/azure/databricks/sql/user/queries/sessions
Build custom stateful applications with transformWithState	https://learn.microsoft.com/en-us/azure/databricks/stateful-applications/
Implement example custom stateful streaming apps with transformWithState	https://learn.microsoft.com/en-us/azure/databricks/stateful-applications/examples
Use legacy arbitrary stateful operators mapGroupsWithState and flatMapGroupsWithState	https://learn.microsoft.com/en-us/azure/databricks/stateful-applications/legacy
Build streaming pipelines with Avro and Schema Registry	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/avro-dataframe
Apply Structured Streaming patterns with external systems	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/examples
Use foreachBatch to write custom streaming sinks	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/foreach
Read and write protocol buffers with Structured Streaming	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/protocol-buffers
Implement real-time Structured Streaming integrations	https://learn.microsoft.com/en-us/azure/databricks/structured-streaming/real-time-examples
Implement Scala user-defined aggregate functions	https://learn.microsoft.com/en-us/azure/databricks/udf/aggregate-scala
Create and use pandas UDFs on Databricks	https://learn.microsoft.com/en-us/azure/databricks/udf/pandas
Implement Python scalar UDFs for Spark SQL	https://learn.microsoft.com/en-us/azure/databricks/udf/python
Implement batch Python UDFs in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/udf/python-batch-udf
Develop Python user-defined table functions	https://learn.microsoft.com/en-us/azure/databricks/udf/python-udtf
Create Scala scalar UDFs for Spark SQL	https://learn.microsoft.com/en-us/azure/databricks/udf/scala
Register Python UDTFs in Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/udf/udtf-unity-catalog
Create Mosaic AI Vector Search endpoints and indexes	https://learn.microsoft.com/en-us/azure/databricks/vector-search/create-vector-search
Use custom embedding models with Mosaic Vector Search	https://learn.microsoft.com/en-us/azure/databricks/vector-search/custom-embedding-model
Query Mosaic AI Vector Search indexes with filters	https://learn.microsoft.com/en-us/azure/databricks/vector-search/query-vector-search
Use example notebooks for Mosaic AI Vector Search	https://learn.microsoft.com/en-us/azure/databricks/vector-search/vs-example-notebooks
Use Unity Catalog volumes with files and tools	https://learn.microsoft.com/en-us/azure/databricks/volumes/volume-files

Deployment

Topic	URL
Deploy Azure Databricks workspaces using ARM templates	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/arm-template
Provision Azure Databricks workspaces with Azure CLI	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/azure-cli
Deploy Azure Databricks workspaces using Bicep	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/bicep
Deploy Azure Databricks workspaces via Azure Portal	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/create-workspace
Delete Azure Databricks workspaces and managed resources	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/delete-workspace
Create Azure Databricks workspaces with PowerShell	https://learn.microsoft.com/en-us/azure/databricks/admin/workspace/powershell
Use dbx for CI/CD on Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/dbx/dbx
Sync local files to Databricks workspaces with dbx	https://learn.microsoft.com/en-us/azure/databricks/archive/dev-tools/dbx/dbx-sync
Deploy MLflow models with legacy Databricks model serving	https://learn.microsoft.com/en-us/azure/databricks/archive/legacy-model-serving/model-serving
Automate Databricks dashboard development and deployment	https://learn.microsoft.com/en-us/azure/databricks/dashboards/automate/
Version control Databricks dashboards with Git	https://learn.microsoft.com/en-us/azure/databricks/dashboards/automate/git-support
Export, import, and replace Databricks dashboards	https://learn.microsoft.com/en-us/azure/databricks/dashboards/automate/import-export
Configure Azure DevOps pipelines to authenticate Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/auth/auth-with-azure-devops
Run Databricks Asset Bundles in air-gapped environments	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/airgapped-environment
Deploy Databricks apps using Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/apps-tutorial
Configure Databricks Asset Bundle deployment modes	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/deployment-modes
Migrate Databricks Asset Bundles to the direct deployment engine	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/direct
Migrate existing Databricks resources into Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/migrate-resources
Deploy Databricks MLOps Stacks with Asset Bundles	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/mlops-stacks
Collaborate on Databricks Asset Bundles in the workspace	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/workspace
Author Databricks Asset Bundles directly in the workspace	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/workspace-author
Deploy and run Databricks Asset Bundles from the workspace	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/workspace-deploy
Create and deploy Databricks Asset Bundles in the workspace	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/bundles/workspace-tutorial
Set up Azure DevOps CI/CD pipelines for Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/azure-devops
Use Databricks GitHub Actions for CI/CD workflows	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/github
Implement Jenkins-based CI/CD for Azure Databricks	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/ci-cd/jenkins
Deploy Databricks Asset Bundles with CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli/bundle-commands
Deploy Databricks Apps via UI and CLI	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/databricks-apps/deploy
Automate Unity Catalog deployment using Terraform	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/automate-uc
Deploy Azure Databricks workspaces using Terraform	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/azure-workspace
Provision clusters, notebooks, and jobs with Terraform	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/cluster-notebook-job
Manage Azure Databricks workspace resources via Terraform	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/terraform/workspace-management
Deploy Databricks Asset Bundles with the VS Code extension	https://learn.microsoft.com/en-us/azure/databricks/dev-tools/vscode-ext/bundles
Author and deploy AI agents on Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/author-agent
Author and deploy AI agents on Model Serving	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/author-agent-model-serving
Deploy custom chat UIs for Databricks agents with Apps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/chat-app
Deploy Mosaic AI agents using Model Serving	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/agent-framework/deploy-agent
Host custom MCP servers on Databricks Apps	https://learn.microsoft.com/en-us/azure/databricks/generative-ai/mcp/custom-mcp
Migrate existing Auto Loader streams to file events	https://learn.microsoft.com/en-us/azure/databricks/ingestion/cloud-object-storage/auto-loader/migrating-to-file-events
Deploy Scala and Java JARs on Databricks serverless	https://learn.microsoft.com/en-us/azure/databricks/jobs/how-to/use-jars-in-workflows
Create Databricks-compatible JARs for Lakeflow Jobs	https://learn.microsoft.com/en-us/azure/databricks/jobs/jar-create
Run Lakeflow Jobs using serverless compute for workflows	https://learn.microsoft.com/en-us/azure/databricks/jobs/run-serverless-jobs
Convert pipelines into Databricks Asset Bundle projects	https://learn.microsoft.com/en-us/azure/databricks/ldp/convert-to-dab
Develop Lakeflow pipeline code in local IDEs	https://learn.microsoft.com/en-us/azure/databricks/ldp/develop-locally
Migrate online tables to Lakebase synced tables	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/migrate-from-online-tables
Upgrade workspace feature tables to Unity Catalog	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/feature-store/uc/upgrade-feature-table-to-uc
Deploy provisioned throughput Foundation Model API endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/deploy-prov-throughput-foundation-model-apis
Deploy legacy provisioned throughput models with MLflow transformers	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/foundation-model-apis/legacy-prov-throughput
Integrate Databricks ML into CI/CD pipelines	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/mlops/ci-cd-for-ml
Create and deploy foundation model serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/create-foundation-model-endpoints
Create and manage custom model serving endpoints	https://learn.microsoft.com/en-us/azure/databricks/machine-learning/model-serving/create-manage-serving-endpoints
Use MLflow 3 deployment jobs for model lifecycle	https://learn.microsoft.com/en-us/azure/databricks/mlflow/deployment-job
Link production traces to MLflow LoggedModel versions	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/version-tracking/link-production-traces-to-app-versions
Package GenAI app code for Databricks Model Serving	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/prompt-version-mgmt/version-tracking/optionally-package-app-code-and-files-for-databricks-model-serving
Deploy Databricks agents with automatic MLflow production tracing	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/prod-tracing
Enable MLflow tracing for agents deployed outside Databricks	https://learn.microsoft.com/en-us/azure/databricks/mlflow3/genai/tracing/prod-tracing-external
Provision Lakebase resources with Terraform	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/automate-with-terraform
Manage Lakebase with Databricks Asset Bundles IaC	https://learn.microsoft.com/en-us/azure/databricks/oltp/projects/manage-with-bundles
Check Azure Databricks feature availability by region	https://learn.microsoft.com/en-us/azure/databricks/resources/feature-region-support
Understand Azure Databricks platform release and maintenance	https://learn.microsoft.com/en-us/azure/databricks/resources/platform-release
Check supported Azure regions for Databricks deployment	https://learn.microsoft.com/en-us/azure/databricks/resources/supported-regions
Deploy Azure Databricks workspaces with VNet injection	https://learn.microsoft.com/en-us/azure/databricks/security/network/classic/vnet-inject
Migrate legacy line charts to new Databricks chart types	https://learn.microsoft.com/en-us/azure/databricks/visualizations/legacy-charts