Get Started with Data Governance on Databricks

In this course, you will explore Unity Catalog and fine-grained access controls on Databricks with hands-on demos and a capstone lab. You will learn about table types, catalog and schema configuration, group-based access management, and access control migration strategies. The course includes demos on applying Fine-Grained Access Controls with Row Level Security and Column Masking, Attribute based access control, combining controls, migrating controls, and a lab for comprehensive governance implementation.

Skill Level

Onboarding

Duration

Prerequisites

Complete the following course before taking up this course:

⇾ Databricks Fundamentals

In this course, the content was developed for participants with these skills/knowledge/abilities:

⇾ A basic understanding of cloud computing concepts (virtual machines, object storage, etc.)

⇾ Intermediate experience with SQL (commands, aggregate functions, filters, sorting, tables, views)

⇾ Familiarity with Python programming and the Jupyter notebook interface

⇾ Basic knowledge of PySpark fundamentals (for hands-on exercises)

⇾ Completion of a foundational Databricks course (such as Fundamentals of the Databricks Data Intelligence Platform) is beneficial but not mandatory

Outline

1. Core Concepts and Architecture

⇾ Unity Catalog Fundamentals

⇾ Centralized Governance and Visibility in Unity Catalog

2. Unity Catalog Permission Model

⇾ Privileges in Unity Catalog

⇾ Databricks Roles

3. Navigate and Access Data Catalogs

⇾ Exploring and Managing Data and AI Assets in Databricks

⇾ Unity Catalog Essentials and Asset Discovery

4. Search, Tagging, and Data Lineage

⇾ Data Organization and Lineage Analysis

⇾ Visualizing Lineage in Catalog Explorer

5. Fine-Grained Access Control

⇾ Unity Catalog Privilege Model and Governance Approaches

⇾ Implementing Fine-Grained Access Controls

⇾ Applying Fine-Grained Policies

⇾ Unified Data Governance on Databricks

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