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
Free audio books in french download Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 9781449373320 (English literature) ePub PDF CHM
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.
jromanes | Data Intensive
We have to design the system thinking that the system can grow in A complex enterprise application uses different kinds of data, and needs The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin
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
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ISBN-13: 978-1449373320 eBook Description: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-intensive Applications: The Big Ideas Behind
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).
Designing Data-Intensive Applications | Martin Kleppmann Book
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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).
Designing Data-Intensive Applications: Th… - Books | WHSmith
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,
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Back. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems · Martin Kleppmann Paperback. $37.99 Prime. Big Data: Principles and best practices of scalable realtime data systems.
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
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