Using Unity Catalogs lineage data for debugging, root cause analysis, and impact assessment

Databricks Unity Catalog is a unified governance solution for all data and AI assets on the Lakehouse platform. It enables users to capture and view data lineage across queries run on Databricks down to the column level. Data lineage describes the transformations and refinements of data from source to insight and includes the metadata and events associated with the data lifecycle.

Some of the benefits of data lineage with Unity Catalog are the following:

• Impact analysis: Users can see the downstream consumers of a dataset and understand the potential impact of any data changes
• Data understanding and transparency: Users can gain better context and trustworthiness of the data by seeing its source, history, and usage
• Data provenance and governance: Users can access lineage data through Catalog Explorer or REST API and apply access control and permissions to the data assets
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