In this comprehensive Unity Catalog course, Mitchell provides an in-depth exploration of Databricks’ centralized data governance solution, showcasing its powerful features for managing and securing data and AI assets across multiple workspaces. You’ll begin with an overview of Unity Catalog, learning about its hierarchical structure of catalogs, schemas, and tables, and its ability to centralize access control, auditing, and data lineage. Mitchell introduces key features such as lineage analysis, commenting, tagging, and AI-generated descriptions, which enhance data discoverability and governance.
Overview
COURSE DIFFICULTY
COURSE DURATION
3h 37m
Skills Learned
After completing this online training course, students will be able to:
Navigate and utilize Databricks workspace
Implement data governance using Unity Catalog
Configure governance policies and settings
Data Engineers, IT Administrators, Data Analysts
None
01. Unity Catalog for Databricks - What You Need to Get Started
02. What is Unity Catalog
03. Previewing Unity Catalog
04. Unity Catalog Databricks
05. Catalogs and Schemas
06. Comments and Tags
07. External Locations
08. Lakehouse Federation
09. Access Control
10. Column Masking
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Navigate and utilize Databricks workspace
Implement data governance using Unity Catalog
Configure governance policies and settings
WHO SHOULD ATTEND
Data Engineers, IT Administrators, Data Analysts
PREREQUISITES
None
COURSE OUTLINE
01. Unity Catalog for Databricks - What You Need to Get Started
02. What is Unity Catalog
03. Previewing Unity Catalog
04. Unity Catalog Databricks
05. Catalogs and Schemas
06. Comments and Tags
07. External Locations
08. Lakehouse Federation
09. Access Control
10. Column Masking
