This technical ebook is designed for data engineers evaluating Apache Iceberg as the foundation of modern cloud data architectures. It explains common data engineering pain points such as brittle ETL pipelines, inconsistent metadata, slow schema evolution, and governance overhead. The book details Iceberg’s core capabilities, including ACID transactions, time travel, schema and partition evolution, and open interoperability across engines and clouds. It compares Iceberg with legacy technologies like Hive and alternative table formats. The ebook positions Iceberg-based lakehouses as a practical path to scalable analytics, reliable data pipelines, and AI-ready architectures.

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