Apache Iceberg: The Definitive Guide

Traditional data architecture patterns are severely limited. These patterns require you to ETL data into each tool – a cost-prohibitive process for making warehouse features available to all of your data, which creates data silos and data drift. This also results in your data being locked in to a set of proprietary tools and formats. This book shows you a better way.

Apache Iceberg provides the capabilities, performance, scalability, and savings that fulfill the promise of an open data lakehouse. By following the lessons in this book, you’ll be able to achieve interactive, batch, machine learning, and streaming analytics all without duplicating data into many different proprietary systems and formats. Authors Tomer Shiran, Jason Hughes and Alex Merced from Dremio guide you how to achieve this.

With this book, you’ll learn:

The architecture of Apache Iceberg tables
How to structure and optimize Apache Iceberg tables for maximum performance
How to use Apache Iceberg with popular data engines such as Apache Spark, Apache Flink, and Dremio Sonar

Discover why Apache Iceberg is a foundational technology for implementing an open data lakehouse.

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Getting Started with Dremio

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