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Thank you for purchasing the MEAP edition of Architecting an Apache Iceberg Lakehouse. This book is designed for data architects, engineers, and technology leaders who are preparing to design or evolve their data architecture using Apache Iceberg. To get the most out of the material, you should already be familiar with modern data platform concepts, such as data lakes, cloud storage, and query engines, and have experience working with big data tools and distributed systems.

Apache Iceberg has quickly become a foundational component in modern data lakehouses. Yet, for many practitioners, the challenge lies not in understanding what Iceberg is, but in how to build a whole architecture around it; one that is scalable, governed, and adaptable to evolving business needs. This book aims to bridge that gap.

Rather than focusing solely on API usage or vendor-specific implementations, Architecting an Apache Iceberg Lakehouse provides a framework for making critical architectural decisions at each layer of the lakehouse stack, from storage and ingestion to cataloging, query, and governance. Along the way, you’ll explore trade-offs, real-world patterns, and practical exercises to help ground your knowledge in experience.