Designing Data-Intensive Applications

Martin Kleppmann, Chris Riccomini

ISBN 10: 1098119061 / ISBN 13: 9781098119065

Published by O'Reilly Media, US, 2026

About this Item

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 effectivelyMake informed decisions by identifying the strengths and weaknesses of different toolsNavigate the trade-offs around consistency, scalability, fault tolerance, and complexityUnderstand the distributed systems research upon which modern databases are builtPeek behind the scenes of major online services, and learn from their architectures.

Seller Inventory # LU-9781098119065

Bibliographic Details

• Title: Designing Data-Intensive Applications
• Publisher: O'Reilly Media, US
• Publication Date: 2026
• Language: English
• ISBN 10: 1098119061
• ISBN 13: 9781098119065
• Binding: Paperback
• Edition: 2nd.
• Condition: New
• Dimensions: 17.78W x 5.08H x 23.34D centimeters 17.78 centimeters width by 5.08 centimeters height by 23.34 centimeters depth

About this title

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 systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. 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, learn how to choose the right tools for your needs, and understand the fundamentals of distributed systems.

• 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
• Learn how major cloud services are designed for scalability, fault tolerance, and consistency
• Understand the core principles upon which modern databases are built

About the Author

Martin Kleppmann is an associate professor at the University of Cambridge, researching and teaching distributed systems and security protocols. He co-created Automerge, was a startup founder, and a software engineer at LinkedIn, where he implemented large-scale data systems.