Data Governance with Unity Catalog

In today's data-driven world, establishing robust data governance is essential for maintaining trust, ensuring compliance, and maximizing the value of your data assets. This course provides a foundational understanding of data governance principles and equips you with the practical skills to secure and manage your data within the Databricks Lakehouse Platform using Unity Catalog. You will learn to control access, track data lineage, and audit data activity effectively. What you'll learn: * Understand the foundational concepts of data governance and its role in modern data platforms. * Configure and manage fine-grained access controls for data objects within Unity Catalog. * Track the flow and transformations of data using Unity Catalog's automated data lineage capabilities. * Implement comprehensive audit logging to monitor data access and changes for compliance. * Practice secure data sharing mechanisms within a governed Databricks environment. * Apply best practices for metadata management and data cataloging in a lakehouse architecture. * Identify key strategies for data security and privacy enforcement using Unity Catalog features. The course begins by establishing core data governance terminology and concepts before delving into the practical setup and management of Unity Catalog features. Through clear explanations and guided examples, you will build proficiency in securing your data assets. This course is designed for beginners in data engineering, data analysis, or data management who want to understand and implement data governance within Databricks using Unity Catalog. No prior experience with Databricks or Unity Catalog is required. Begin your journey to becoming proficient in modern data governance.