How to implement data security with views in Databricks

Welcome to our quick demo on implementing data security in Databricks using Views! In this video, we’ll guide you through everything you need to know—from identifying user group memberships to creating secure views for column-level security, row-level security, and data masking. You’ll learn how to control data visibility, restrict access based on user identity, and ensure sensitive information is protected. By the end of this tutorial, you’ll have a solid understanding of how to apply these security measures effectively.

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0:00 - Introduction to Data Security in Databricks with Views
0:17- Identify Group Membership for Security Setup
0:38 - Setting Up Data Table for Security Application
0:56 - Hide Sensitive Columns with Access Control
1:24 - Enforce Row-Level Security with User Identity Check
1:59 - Mask Sensitive Data and Verify View Implementation

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