Overview

Stop treating your data lake like a swamp. Master the internal architecture that brings transactional reliability, ACID compliance, and low-latency querying directly to cloud object storage. The era of unpredictable ETL and unreliable Hive-style tables is over. This is the definitive, deep-diving guide written for the experienced data engineer and architect ready to master the internals of Apache Iceberg. We strip away the SQL layer to reveal the sophisticated engine that safeguards your data at petabyte scale. In this book, you will move beyond the SELECT * and master: The Atomic Commit Protocol (Chapter 2): Trace the Check-and-Put (CAS) operations and Optimistic Concurrency Control (OCC) that enforce transactional integrity without using traditional database locks. Metadata Pruning: Master the Manifest List and Metrics Pruning techniques, including Z-Ordering and distributed scanning logic, to achieve near O(1) query planning time. Row-Level Updates: Understand the critical trade-offs between Copy-on-Write (CoW) and Merge-on-Read (MoR), and dissect the internal logic of Position and Equality Deletes (V2 Spec) essential for CDC pipelines. Operational Governance: Learn mandatory maintenance tasks from Manifest Rewriting to cure metadata bloat to Snapshot Expiry for cost control and integrate governance via Branching and Tagging. Engine Symbiosis: Master how key engines (Spark, Flink, Trino) negotiate with the Iceberg Catalog using the Datasource V2 API for optimized reads and writes. This guide is your toolkit for building a high-performance, multi-engine lakehouse. If you deploy Iceberg, you must maintain it. Start by mastering its core.

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