databricks-unity-catalog

To query Databricks Unity Catalog system tables for audit logs, you can run SQL queries against the system tables using the execute_sql tool. This simplifies access to audit data, lineage tracking, and system-level monitoring within your Databricks environment.

Yes, you can track Databricks billing and compute resource usage by querying the Unity Catalog billing and compute system tables. This allows you to analyze DBU consumption and optimize costs across your workspaces.

You can monitor data quality and detect drift on Unity Catalog tables by creating quality monitors. This feature tracks data profiles and identifies changes in your datasets over time.

The best way to analyze data lineage in a Databricks environment is by querying the Unity Catalog lineage system tables. This simplifies tracking how data flows through your pipelines and reviewing lineage changes.

Yes, this approach supports managing file permissions on Unity Catalog volumes. You can perform file operations and manage access controls directly through the Unity Catalog interface.