Cloud Data Governance with Databricks and AWS

Managing large-scale data assets across cloud environments requires a robust strategy to ensure security, compliance, and accessibility. This text-based course guides you through the core principles of data governance using the Databricks Lakehouse platform on AWS. You will transition from understanding basic data management to implementing secure, compliant, and well-governed data pipelines. Through clear written explanations and practical scenarios, you will learn how to organize, audit, and protect sensitive organizational data. What you'll learn: - Understand foundational data governance principles and Lakehouse architecture. - Configure secure access controls and permissions using Databricks Unity Catalog. - Track data lineage to monitor how data flows and transforms across AWS. - Implement data masking and row-level security to protect sensitive information. - Apply auditing practices to monitor user activity and ensure compliance. - Manage metadata and data discovery to help teams find reliable data assets. The course begins with essential terminology and the fundamentals of cloud data architecture before moving into practical configuration steps for access control, lineage tracking, and compliance auditing. It is designed for beginner data engineers, analysts, and cloud administrators looking to build a solid foundation in data governance without needing prior experience in Databricks. Start reading today to master the essentials of modern cloud data governance.