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.pdf
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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Ebooks for download for free Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You’ll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You’ll learn how to develop an intuition for what your systems are doing, so that you’re better able to track down any problems that arise.

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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, Big Data: Principles and best practices of scalable realtime data systems, Designing.Data-Intensive.Applications - 下载频道- CSDN.NET
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图书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. 副标题: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 出版年: Designing Data- Intensive Applications - Pentaho
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).

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