Apache Iceberg Foundations for Production Data Lakehouses

Modern data platforms require the flexibility of a data lake combined with the transactional reliability of a traditional database. This text-only course introduces you to Apache Iceberg, the open-source table format that makes this hybrid architecture possible. By reading through this comprehensive guide, you will transition from understanding basic file storage to designing, managing, and optimizing robust data lakehouses. You will explore how Apache Iceberg manages metadata, ensures ACID transactions, and handles schema evolution seamlessly. What you will learn: 1. Understand the core architecture of Apache Iceberg and how it organizes metadata. 2. Implement ACID transactions and time-travel queries on your data lakes. 3. Manage schema evolution and partition evolution without breaking existing queries. 4. Optimize table performance using compaction, sorting, and data retention strategies. 5. Integrate Iceberg tables with modern query engines and catalog managers. 6. Apply best practices for data governance and security in a lakehouse environment. The course begins with foundational definitions of data lakes and table formats, guiding you step-by-step through metadata structures, configuration scenarios, and performance optimization techniques. It is designed for aspiring data engineers, database administrators, and analytics professionals looking to build modern data platforms, with no prior Iceberg experience required. Start reading today to master the core principles of modern open-table formats.