adf-ml-analytics

The skill presents a coherent, purpose-aligned, and proportionate blueprint for an enterprise-grade ML analytics workflow using Azure Data Factory as the orchestration layer. It sensibly wires Azure ML batch endpoints, OpenAI batch API, Databricks, ADLS Gen2, and in-database scoring within a consistent data lifecycle (archive, feature engineering, training/scoring, and back to storage/SQL). Credential handling follows best practices (MSI, Key Vault) and avoids hard-coded secrets. While broad in scope and reliant on multiple external services, there is no indication of malicious or deceptive intent in data flows or installation patterns. The footprint is consistent with the stated purpose and typical for complex ML pipelines in a modern cloud environment.