Managing Data Lakes and Governance with Cloud Dataplex

As organizations gather massive volumes of data, keeping that data organized, secure, and high-quality becomes a critical challenge. Managing decentralized data lakes requires a unified approach to governance and metadata management. This text-based course guides you through the foundational concepts of Cloud Dataplex, helping you establish a centralized control plane for your data. You will transition from manual, siloed data management to automated data discovery, quality monitoring, and policy enforcement. What you'll learn: - Understand core data lake concepts, including lakes, zones, and assets. - Configure automated data discovery and metadata harvesting to build a searchable data catalog. - Implement data quality rules and automated checks to ensure reliable pipelines. - Apply unified security policies and access controls across diverse storage environments. - Analyze data lineage to track how data moves and transforms across your organization. - Explore modern data mesh architecture principles for decentralized data ownership. The course begins with essential definitions of data governance and lakehouse architectures before moving into practical configurations of data assets. You will read through step-by-step setup guides, analyze configuration snippets, and solidify your learning with written conceptual exercises. This course is designed for beginner data engineers, cloud administrators, and data analysts looking to build a solid foundation in data governance. No prior experience with Dataplex is required. Start reading today to master the art of structured, secure, and scalable data management.