Data Management and Governance in Data Lakes focus on organizing, securing, and controlling large volumes of structured and unstructured data stored in data lake environments. Effective governance ensures data quality, consistency, accessibility, and compliance across the entire data lifecycle. This training explains how metadata management, access control, data cataloging, and lineage tracking improve visibility and trust in data lakes. It also covers governance policies, data classification, and security practices used to protect sensitive information. You will learn how to manage scalable data lake architectures while maintaining compliance and operational efficiency. The course also highlights best practices for building reliable, secure, and well-governed data lake ecosystems for analytics and enterprise workloads.
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