--- title: "Apache Iceberg Fundamentals" description: "Apache Iceberg for the data lakehouse: table architecture, table management, schema evolution and partitioning, and time travel and branching." scfAsset: managed: false category: "guide" maintainers: - user: "can.celik1" external: true tags: ["STACKIT University", "Learning", "Iceberg", "Lakehouse", "Open Table Formats"] source_url: "https://framework.stackit.cloud/data-and-ai/assetcontainer/stackit/apache-iceberg-fundamentals/" source_file: "docs/data-and-ai/assetcontainer/stackit/apache-iceberg-fundamentals.mdx" --- ## Course Overview An open table format course covering Apache Iceberg, the technology behind modern data lakehouse architectures. It builds on Data Lakehouse Fundamentals with a deep dive into how Iceberg tables are structured and managed: table operations, schema evolution, partitioning strategies, and the time-travel and branching features that make lakehouse data behave a lot like a version-controlled dataset. ### What You'll Learn - Explain Iceberg's table architecture and core concepts - Perform table management operations - Apply schema evolution and partitioning strategies - Use time travel and branching for reproducible, auditable datasets ### Modules - Iceberg Architecture and Concepts - Table Management and Operations - Schema Evolution and Partitioning - Time Travel and Branching