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Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Brief Description
Data is at the centre 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...
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See moreIn 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.
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Description
Data is at the centre 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.
Designing Data-Intensive Applications is a crucial resource for anyone who needs to understand the complexities of data management and wants to stay ahead in the fast-evolving world of data-intensive systems.
Book Details
INFORMATION
ISBN: 9781098119065
Publisher: O'Reilly Media
Format: Paperback / softback
Date Published: 27 February 2026
Country: United States
Imprint: O'Reilly Media
Edition: 2nd Revised edition
Audience: General / adult, Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 232.0mm
Weight: 0g
Pages: 600
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.
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