Apache Hudi - The Definitive Guide
Building Robust, Open, and High-Performing Data Lakehouses
Published on 7. November 2025
Book
Paperback/Softback
350 pages
978-1-0981-7383-8 (ISBN)
Description
Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi. With this practical guide, data engineers, data architects, and software architects will discover how to seamlessly build an interoperable lakehouse from disparate data sources and deliver faster insights using their query engine of choice.
Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.
This book helps you:
Understand the need for transactional data lakehouses and the challenges associated with building them
Get up to speed with Apache Hudi and learn how it makes building data lakehouses easy
Explore data ecosystem support provided by Apache Hudi for popular data sources and query engines
Perform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applications
Implement data engineering techniques to operate and manage Apache Hudi tables
Apply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performance
Build end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics
Authors Shiyan Xu, Prashant Wason, Sudha Saktheeswaran, and Rebecca Bilbro provide practical examples and insights to help you unlock the full potential of data lakehouses for different levels of analytics, from batch to interactive to streaming. You'll also learn how to evaluate storage choices and leverage built-in automated table optimizations to build, maintain, and operate production data applications.
This book helps you:
Understand the need for transactional data lakehouses and the challenges associated with building them
Get up to speed with Apache Hudi and learn how it makes building data lakehouses easy
Explore data ecosystem support provided by Apache Hudi for popular data sources and query engines
Perform different write and read operations on Apache Hudi tables and effectively use them for various use cases, including batch and stream applications
Implement data engineering techniques to operate and manage Apache Hudi tables
Apply different storage techniques and considerations, such as indexing and clustering to maximize your lakehouse performance
Build end-to-end incremental data pipelines using Apache Hudi for faster ingestion and fresher analytics
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 233 mm
Width: 178 mm
Thickness: 15 mm
Weight
467 gr
ISBN-13
978-1-0981-7383-8 (9781098173838)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Shiyan Xu is a Founding Engineer at Onehouse and currently working as an Open Source Engineer. He has been an active contributor to Apache Hudi since 2019, and is serving as a PMC member of the project since 2021. Prior to joining Onehouse, Shiyan worked as a tech lead manager at Zendesk, leading the development of a large-scale data lake platform using Apache Hudi. He is passionate about open source development and engaging with community users. Prashant Wason is a Staff Software Engineer at Uber Technologies and a PMC member of the Apache Hudi project. He has been an active contributor to the Hudi project since 2019 with features like Metadata Table and Record Index. Prashant has been working in the Storage and Data Infrastructure space for over 15 years.Sudha Saktheeswaran is a Software Engineer at Onehouse and a PMC member of the Apache Hudi project. She comes with vast experience in real-time and distributed data systems through her work at Moveworks, Uber and Linkedin's data infra teams. Sudha is also a key contributor to the early Presto integrations of Hudi. She is passionate about engaging with and driving the Hudi community. Dr. Rebecca Bilbro is a data scientist, Python programmer, and author in Washington, DC. She specializes in data visualization for machine learning, from feature analysis to model selection and hyperparameter tuning. Rebecca is an active contributor to the open source community and has conducted research on natural language processing, semantic network extraction, entity resolution, and high dimensional information visualization. She earned her doctorate from the University of Illinois, Urbana-Champaign, where her research centered on communication and visualization practices in engineering. Rebecca is co-founder and CTO of Rotational Labs.