Implement Advanced Security and Data Management in Unity Catalog

  • Module
  • 9 Units
Intermediate
Data Engineer
Administrator
Azure Databricks

You explore different features and tools to help you implement advanced security and data management in Unity Catalog.

Learning objectives

At the end of this module, you're able to:

  • Explain the importance of fine-grained access control and distinguish between Row and Column Security and Dynamic Views.
  • Implement masking and filtering rules at the table level using Row and Column Security, and identify scenarios where Dynamic Views are appropriate.
  • Use Lakehouse Monitoring to profile data, detect anomalies such as nulls, zeros, and outliers, and interpret quality and drift metrics over time.

Prerequisites

  • Basic understanding of data lakehouse concepts (catalogs, schemas, tables, views).
  • Familiarity with Azure Databricks workspace navigation (clusters, SQL warehouses, notebooks).
  • Introductory knowledge of SQL (running queries, creating tables, granting permissions).
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