Govern Access at Scale with ABAC in Unity Catalog

Databricks · Beginner ·📊 Data Analytics & Business Intelligence ·1mo ago
Learn how you can leverage attribute-based-access-controls to govern data at scale in Unity Catalog for Databricks. Video Chapters: 00:00 - Introduction to ABAC in Unity Catalog An overview of how attribute-based access control solves the administrative challenges of managing data access at scale. 00:26 - Identifying PII in Lumina Technologies Data A look at the sample customer table where PII (email addresses) needs to be secured across the operations schema. 00:54 - Defining Global Masking Policies with Attributes How to create a catalog-level policy using tags and group memberships instead of targeting individual tables. 01:21 - Generating Masking Logic with Databricks Assistant Using AI to quickly create, test, and publish a reusable SQL masking function. 01:45 - Verifying Dynamic Access Control A demonstration of how the policy masks data for standard users while maintaining access for authorized service agents. 02:05 - Automated Tagging with Data Classification Scaling security by using Unity Catalog’s built-in tools to scan for PII and apply tags automatically. Learn more about attribute-based-access-controls https://docs.databricks.com/aws/en/data-governance/unity-catalog/abac/
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Chapters (6)

Introduction to ABAC in Unity Catalog An overview of how attribute-based acces
0:26 Identifying PII in Lumina Technologies Data A look at the sample customer tabl
0:54 Defining Global Masking Policies with Attributes How to create a catalog-level
1:21 Generating Masking Logic with Databricks Assistant Using AI to quickly create,
1:45 Verifying Dynamic Access Control A demonstration of how the policy masks data
2:05 Automated Tagging with Data Classification Scaling security by using Unity Cat
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