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

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.pdf
ISBN: 9781449373320 | 500 pages | 13 Mb


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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
Publisher: O'Reilly Media, Incorporated



Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. 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. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. Â�ベント日時, 2016年1月25日(月). A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Implementation detail behind a clean, simple-to-understand façade. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. Amazon.co.jp： Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 洋書.





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