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Designing Data-Intensive
Applications, 2nd Edition
by Martin Kleppmann, Chris Riccomini
February 2026
Intermediate To Advanced
650 Pages
17h 5m
English
O'Reilly Media, Inc.
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Contents
Brief Table of Contents (Not Yet Final)
Preface
1. Trade-offs in Data Systems Architecture
2. Defining Nonfunctional Requirements
3. Data Models and Query Languages
4. Storage and Retrieval
5. Encoding and Evolution
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9/20/25, 11:54 AM Designing Data-Intensive Applications, 2nd Edition [Book]
6. Replication
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7. Sharding
8. Transactions
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Overview
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
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Publisher Resources
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ISBN: 9781098119058
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