Apache Polaris: The Definitive Guide

This guide will provide practitioners with a deep dive into Polaris, a modern Iceberg-native catalog designed to power scalable, cloud-native data lakehouse architectures. The early release edition will be made available for free by Dremio in the coming weeks.

Modern data teams need open, scalable tools to build future-proof lakehouse architectures. But with growing data volumes and evolving open standards, it’s easy to fall behind or get locked into rigid vendor ecosystems. Two new books, authored by leaders at Dremio and across the open source community, show you how to move forward with confidence.

Apache Polaris and Apache Iceberg offer a powerful, open foundation for cloud-native data lakehouses. These new titles—Apache Polaris: The Definitive Guide (O’reilly) and Architecting an Apache Iceberg Lakehouse (Manning)—provide deep, practical guidance on designing, building, and scaling lakehouse systems with these modern technologies. You’ll get real-world insights, architectural best practices, and step-by-step strategies from the people who’ve helped shape the projects.

With these books, you’ll learn:

How Apache Polaris enables a modern, Iceberg-native catalog for scalable metadata management
How to design and operate production-ready Apache Iceberg lakehouses
Architectural patterns for building open data platforms using Apache Iceberg and Polaris
How to integrate these tools with engines like Apache Spark, Flink, and Dremio
Best practices for governance, optimization, and high availability in open lakehouse environments

Sign up to receive a free pre-release copy of “Apache Polaris: The Definitive Guide” and be updated on the MEAP availability of “Architecting an Apache Iceberg Lakehouse” as soon as it's available.

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