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

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

by Martin Kleppmann, Chris Riccomini
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Availability:In StockContributor:Martin Kleppmann, Chris RiccominiPublish date:3/24/2026Pages:670
Languages:EnglishPublisher:O'Reilly MediaISBN-13:9781098119065ISBN-10:1098119061UPC:9781098119065Book Category:ComputersBook Subcategory:Business & Productivity Software, Data ScienceBook Topic:Databases, Data Modeling & Design, Data WarehousingSize:9.19 x 7.00 x 1.35 inchesWeight:2.3215Product ID:SCF2M6P5GD
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
Languages:EnglishPublisher:O'Reilly MediaISBN-13:9781098119065ISBN-10:1098119061UPC:9781098119065Book Category:ComputersBook Subcategory:Business & Productivity Software, Data ScienceBook Topic:Databases, Data Modeling & Design, Data WarehousingSize:9.19 x 7.00 x 1.35 inchesWeight:2.3215Product ID:SCF2M6P5GD
Kleppmann, Martin: - 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.

Martin is a regular conference speaker, blogger, and open source contributor. He believes that profound technical ideas should be accessible to everyone, and that deeper understanding will help us develop better software.Riccomini, Chris: - 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.

Publisher: O'Reilly Media

Edition

2nd Edition

Contributor(s)

Martin Kleppmann, Chris Riccomini

Authors

Martin Kleppmann, Chris Riccomini

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