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

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  • 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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Ebook for blackberry free download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems in English 9781449373320

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.

Designing Data-Intensive Applications - Pentaho
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イベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. イベント日時, 2016年1月25日(月). messaging | Data Intensive
A systematic way of approaching Big Data complex projects. In order to design a complete Data Ingestion Architecture and choose the right tools for it, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Designing Data-Intensive Web Applications (The - Amazon.co.uk
Scores of database management systems across the Internet access and maintain large amounts of structured data for Back. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Big Data AnalyticseBook Resources in Resources | Pentaho | Page 1
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The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc). The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. av Martin Kleppmann ( häftad , 2016). Bloggar (0). Ruby Rogues: 207 Rebuilding Rails with Noah Gibbs - DevChat.TV
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Designing Data Intensive Applications: The Big Ideas Behind It looks at examples of successful data systems and discusses their key THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE SYSTEMS



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