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

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ISBN: 9781449373320 | 500 pages | 13 Mb

• Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
• Martin Kleppmann
• Page: 500
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781449373320
• Publisher: O'Reilly Media, Incorporated

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Read books online for free no download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (English Edition)

Designing for Scalability with Erlang/OTP: Implementing Robust Design and build complex, scalable commercial-grade systems with the Open Prime. Designing Data-Intensive Applications: The Big Ideas Behind Reliable,  Designing Data-Intensive Applications — an O'Reilly book by Martin Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. This book compares the fundamental ideas behind a broad variety of systems. Pentaho on Twitter: "ebook: Designing Data-Intensive Applications ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Designing Data-Intensive Applications: The Big Ideas Behind Chapter 1 discusses how to build reliable, scalable, and maintainable applications. You'll learn how to think about designing data systems, where errors  Designing Data-Intensive Applications: The Big Ideas Behind Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 9781449373320: Books  Booktopia - Designing Data-Intensive Applications, The Big Ideas Buy a discounted Paperback of Designing Data-Intensive Applications online from The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.

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