dagster-integrations
Audited by Runlayer on Feb 24, 2026
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Tool: SKILL.md Description: --- name: dagster-integrations description: Skill that helps users discover and understand Dagster integration libraries.
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Tool: references/ai.md Description: # AI Integrations AI integrations for machine learning platforms, LLM APIs, and experiment tracking tools.
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Tool: references/alerting.md Description: # Alerting Integrations Notification and alerting systems for pipeline monitoring, team communication, and incident management.
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Tool: references/bi.md Description: # BI Integrations Business intelligence and visualization platforms for data exploration, dashboards, and analytics.
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Tool: references/compute.md [1/2] Description: # Compute Integrations Cloud platforms, container orchestration, and distributed processing frameworks for scalable computation.
Tool: references/compute.md [2/2]
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Tool: references/dagster-dbt/README.md Description: # dagster-dbt Integration Reference The dagster-dbt integration represents each dbt models as Dagster assets, enabling granular orchestration at the individual model level.
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Tool: references/dagster-dbt/asset-checks.md Description: # Asset Checks dbt tests are loaded as Dagster asset checks by default (enabled in dagster-dbt 0.23.0+).
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Tool: references/dagster-dbt/component-based-integration.md Description: # Component-Based Integration The Component-based approach uses `DbtProjectComponent` to define dbt assets via YAML configuration. This is the recommended approach for new projects.
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Tool: references/dagster-dbt/dbt-cloud.md Description: # dbt Cloud Integration The dagster-dbt library provides integration with dbt Cloud via the v2 API (recommended) for projects hosted on dbt Cloud.
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Tool: references/dagster-dbt/dependencies.md Description: # Dependencies ## How Dependencies Work Dagster parses the dependencies already present in your dbt project: - dbt `ref()` calls create dependencies between models - dbt `source()` calls create dependencies on upstream assets ## Defining Upstream Dagster Assets Define a Dagster asset as a dbt source in `sources.yml`: ```yaml sources: - name: dagster tables: - name: my_upstream_asset ``` Then reference it in your dbt model:
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Tool: references/dagster-dbt/pythonic-integration.md Description: # Pythonic Integration The Pythonic approach uses the `@dbt_assets` decorator to define dbt assets programmatically.
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Tool: references/etl.md Description: # ETL Integrations Extract, transform, and load tools for data ingestion, transformation, and orchestration.
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Tool: references/integrations-index/references/state-backed-components.md
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Tool: references/monitoring.md Description: # Monitoring Integrations Observability platforms and metrics systems for tracking pipeline performance, health, and operational metrics.
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Tool: references/other.md Description: # Other Integrations Miscellaneous integrations that don't fit into other categories, including DataFrame libraries and utility tools.
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Tool: references/storage.md [1/2] Description: # Storage Integrations Data warehouses, databases, object storage, and table formats for persistent data storage and analytics.
Tool: references/storage.md [2/2] Description: `lakefs-client` (use with custom resource) | **Support:** Community-supported Git-like version control for data lakes with branching and merging.
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Tool: references/testing.md Description: # Testing Integrations Data quality and testing frameworks for validation, schema compliance, and ensuring data pipeline reliability.