Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable and Maintainable Systems

Kleppmann, Martin/ Riccomini, Chris

ISBN 10: 1098119061 / ISBN 13: 9781098119065

Published by Oreilly & Associates Inc, 2026

2nd edition. 600 pages. 9.19x7.00x9.19 inches. In Stock. Seller Inventory # xi1098119061

Synopsis:

Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of tools and analytical systems, including relational databases, NoSQL datastores, plus data warehouses and data lakes. What are the right choices for your application? How do you make sense of all these buzzwords?

In this second edition, authors Martin Kleppmann and Chris Riccomini build on the foundation laid in the acclaimed first edition, integrating new technologies and emerging trends. You'll be guided through the maze of decisions and trade-offs involved in building a modern data system, from choosing the right tools like Spark and Flink to understanding the intricacies of data laws like the GDPR.

• Peer under the hood of the systems you already use, and learn to use them more effectively
• Make informed decisions by identifying the strengths and weaknesses of different tools
• Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity
• Understand the distributed systems research upon which modern databases are built
• Peek behind the scenes of major online services, and learn from their architectures

About the Author: Martin Kleppmann is a researcher in distributed systems at the University of Cambridge. Previously he was a software engineer and entrepreneur at Internet companies including LinkedIn and Rapportive, where he worked on large-scale data infrastructure. In the process he learned a few things the hard way, and he hopes this book will save you from repeating the same mistakes. Chris Riccomini is a software engineer, startup investor, and author with 15+ years of experience at PayPal, LinkedIn, and WePay. He runs Materialized View Capital, where he invests in infrastructure startups. He is also the co-creator of Apache Samza and SlateDB, and co-author of The Missing README: A Guide for the New Software Engineer.

Bibliographic Details

Title: Designing Data-intensive Applications: The ...
Publisher: Oreilly & Associates Inc
Publication Date: 2026
Binding: Paperback
Condition: Brand New
Edition: 2nd Edition