Data Governance Workflows in Databricks

Managing data assets responsibly is one of the most critical challenges for modern organizations. This course introduces you to the core principles of data governance and shows you how to implement them practically using Databricks tools. You will transition from understanding basic governance concepts to structuring secure, compliant, and well-documented data workflows. By reading through practical scenarios, you will gain the confidence to manage data access, audit usage, and maintain data quality across your organization's lakehouse architecture. What you'll learn: Understand the fundamentals of data governance, cataloging, and compliance requirements; Configure secure data access controls using Unity Catalog features; Track data lineage to understand how data flows and transforms across pipelines; Implement auditing and monitoring workflows to track user queries and data access; Apply data quality standards and metadata tagging to organize and discover assets. The course starts with essential terminology and foundational governance principles before guiding you through step-by-step written explanations to configure catalogs, manage permissions, and trace lineage. Designed for beginners, data analysts, and aspiring data engineers, this course requires no prior experience with Databricks administration. Start reading today to build a secure, compliant, and well-governed data environment.