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How do I configure Unity Catalog in Databricks for fine-grained column-level access control across multiple business units without breaking existing Spark jobs?
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How do I configure Unity Catalog in Databricks for fine-grained column-level access control across multiple business units without breaking existing Spark jobs?
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Databricks Unity Catalog column masks row filters column-level privileges documentation Spark compatibility migration Hive metastoreGoogle ↗
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Databricks Unity Catalog column masks row filters column-level privileges documentation Spark compatibility migration Hive metastore Google ↗
- ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog · databricks.com
- Create and manage row filter and column mask policies · docs.databricks.com
- Row filters and column masks · docs.databricks.com
- Manually apply row filters and column masks · docs.databricks.com
- Unity Catalog requirements and limitations · docs.databricks.com
- Requirements, quotas, and limitations for row filter and column mask policies · docs.databricks.com
- Unauthorized access exception when trying to access a Unity Catalog table with row filters or column masks · kb.databricks.com
- Upgrade a Databricks workspace to Unity Catalog · docs.databricks.com
- Hive metastore federation: enable Unity Catalog to govern tables registered in a Hive metastore · docs.databricks.com
- Work with the legacy Hive metastore alongside Unity Catalog · docs.databricks.com
- Row filters and column masks · docs.databricks.com