anomaly-detection

Schema-level anomaly detection for Databricks Unity Catalog using the Data Quality API (Public Preview). Automatically monitors table freshness and completeness using ML models. Use when setting up schema-wide data reliability monitoring, detecting stale or incomplete tables, configuring anomaly detection alerts, or querying the system results table. **Auto-triggered by Silver and Gold layer setup workflows** to ensure every new schema has baseline freshness/completeness monitoring from day one.

Works with

Claude CodeCursorCodex CLIGitHub CopilotGemini CLI

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