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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Martin Kleppmann
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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 download books pdf formats Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems RTF in English by Martin Kleppmann
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
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Author: Martin Kleppmann Publisher: O'Reilly
Using logs to build a solid data infrastructure (or: why - Confluent
How does your database store data on disk reliably? large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log!
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. Product: Data Integration, Big Data
Designing Data-Intensive Applications : The Big Ideas Behind
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Want to know how the best software engineers
Designing Data-Intensive Applications: The Big Ideas Behind
Buy Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (ISBN: 9781449373320)
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Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook.
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
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Designing Data-Intensive Applications - Download eBook PDF
Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. by Martin Kleppmann. Year: 2015. Pages: 144.
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
Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File.
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
O'Reilly eBook: Designing Data Intensive Applications - InvestBrite
It looks at examples of successful data systems and discusses their THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE
Designing Data-Intensive Applications Martin Kleppmann - vas3k ru
Part I. The Big Picture. Reliable, Scalable and Maintainable Applications If you are designing a data system or service, a lot of tricky
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