Apache Hudi: The Definitive Guide: Building Robust, Open, and...

Description

Apache Hudi: The Definitive Guide: Building Robust, Open, and High-Performing Data Lakehouses.

Learn how to build reliable, high-performance transactional data lakehouses with Apache Hudi for modern analytics and data engineering.

As organizations process ever-growing volumes of rapidly changing data, maintaining transactional consistency while delivering fast, reliable analytics has become increasingly challenging. This practical guide demonstrates how Apache Hudi enables data engineers, architects, and software professionals to create scalable lakehouse architectures that unify data from multiple sources while supporting both analytical and operational workloads.

Written by experienced practitioners Shiyan Xu, Prashant Wason, Bhavani Sudha Saktheeswaran, and Rebecca Bilbro, the book combines real-world examples with practical guidance to help you design, implement, and manage production-ready data lakehouses. You’ll learn how Apache Hudi supports a wide range of analytics workloads—from traditional batch processing to interactive queries and real-time streaming—while maintaining data consistency and improving query performance.

Throughout the book, you’ll explore strategies for selecting the right storage formats, optimizing table performance, and leveraging Apache Hudi’s built-in features for automated maintenance and efficient data management. The authors also explain how to integrate Hudi with popular data sources, processing frameworks, and query engines to build flexible, interoperable data platforms.

What You’ll Learn

• Understand the principles of transactional data lakehouses and the challenges involved in building them.
• Integrate Apache Hudi with popular data sources, analytics frameworks, and query engines.
• Perform efficient read and write operations for both batch and streaming workloads.
• Optimize lakehouse performance using indexing, clustering, storage optimization, and other advanced techniques.
• Design and implement end-to-end incremental data pipelines for faster ingestion and near real-time analytics.
• Build, operate, and maintain scalable production-grade data applications with confidence.

Whether you’re a data engineer, data architect, software architect, or analytics professional, this book provides the practical knowledge and best practices needed to harness Apache Hudi for building modern, reliable, and high-performance data lakehouse solutions.