unity-catalog-tagger

To apply Unity Catalog metadata tags for PII and PHI classification, you define tag types and apply them directly to tables, columns, and schemas. This process marks data sensitivity and documents ownership for governance.

Managing data governance tags across Databricks involves applying structured metadata tags to catalog objects. This approach classifies data domains, quality attributes, and compliance requirements to support unified discovery and governance workflows.

Yes, you can use Unity Catalog tagging to document data retention and ownership policies. By applying structured tagging patterns to schemas and tables, you map compliance requirements and ownership directly into the metadata model.

You classify data quality attributes in Unity Catalog by applying specific metadata tags to tables and columns. This tags data type, quality levels, and business context to support governance and data discovery workflows.

Yes, you need existing Unity Catalog schemas, tables, or columns to start metadata management. The tagging process applies classification metadata directly to these existing catalog objects to satisfy compliance workflow requirements.