Engineering Lakehouses with Open Table Formats provides detailed insights into lakehouse concepts, and dives deep into the practical implementation of open table formats such as Apache Iceberg, Apache Hudi, and Delta Lake. If you are a data engineer or architect looking to understand the intricacies of open lakehouse architectures, this book is for you.
You'll start by exploring the internals of a table format and learn in detail about the transactional capabilities of lakehouses. You’ll also work with each table format with hands-on exercises using popular computing engines such as Apache Spark, Flink, Trino, dbt, and Python-based tools. The book addresses advanced topics, including performance optimization techniques and interoperability among different formats, equipping you to build production-ready lakehouses. With step-by-step explanations, you’ll get to grips with the key components of Lakehouse architecture and learn how to build, maintain, and optimize them.
By the end, you'll be proficient in evaluating and implementing open table formats, optimizing lakehouse performance, and applying these concepts to real-world scenarios, ensuring you make informed decisions in selecting the right architecture for your organization’s data needs.

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Spis treści

Engineering Lakehouses with Open Table Formats. Build scalable and efficient lakehouses with Apache Iceberg, Apache Hudi, and Delta Lake eBook -- spis treści

• 1. Open Data Lakehouse – a New Architectural Paradigm
• 2. Transactional Capabilities in Lakehouse
• 3. Apache Iceberg Deep Dive
• 4. Apache Hudi Deep Dive
• 5. Delta Lake Deep Dive
• 6. Catalogs and Metatdata Management
• 7. Interoperability and Data Federation
• 8. Performance Optimization and Tuning
• 9. Data Governance and Security in Lakehouse
• 10. Integrating Lakehouse with Other Tools
• 11. Real-World Lakehouse Use Cases