[Pdf/ePub] Designing Data-Intensive

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

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

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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: The Big Ideas Behind
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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. Customer Reviews: Designing Data-Intensive Web Applications
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Part I. The Big Picture. Reliable, Scalable and Maintainable Applications If you are designing a data system or service, a lot of tricky  Amazon.com: Martin Kleppmann: Books, Biography, Blog
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 博客來-Designing Data-intensive Applications: The Big Ideas Behind
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Part I. The Big Picture Chapter 1. Reliable, Scalable and Maintainable Applications Thinking About Data Systems Reliability Scalability Maintainability Chapter 2 

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