Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Martin Kleppmann
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
Free audio books for downloads 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.
Designing Data-intensive Applications: The Big Ideas Behind
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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 This book examines the key principles, algorithms, and trade -offs of data systems, using the internals of various popular software packages
Designing Data-Intensive Applications by Martin Kleppmann
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (Paperback). Martin Kleppmann. Be the first to write
Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. by Martin Kleppmann. Want to know how the best
Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems (English) - Buy Designing Data-Intensive
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. No Synopsis Available
Designing Data-Intensive Applications Reviews & Ratings - Amazon.in
Amazon.in - Buy Designing Data-Intensive Applications book online at best prices in India The big ideas behind reliable, scalable and maintainable systems
Hey, I'm writing a book! — Martin Kleppmann's blog
A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. None of
Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, structure their applications to make them scalable, reliable, and maintainable in the This book examines the key principles, algorithms, and trade-offs of data systems,
Designing Data-Intensive Applications: The Big Ideas Behind
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Data Intensive | Big Data Intensive Architectures
A systematic way of approaching Big Data complex projects. This framework is a template for design data pipelines with different requirements: such as Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza).
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