Databricks - Data Analyst Associate Study Guide

9: Securing Data

This chapter shows how a data analyst secures workspace objects on the Databricks Data Intelligence Platform using Unity Catalog roles, privileges, and sharing settings; how the three-level namespace routes every query through a catalog, a schema, and an object; and how table ownership, dynamic views, column masks, row filters, and PII tagging protect sensitive data while keeping Databricks SQL, AI/BI Dashboards, and AI/BI Genie workloads productive.