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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 downloads war books 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
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: The Big Ideas Behind
It looks at examples of successful data systems and discusses their key algorithms, basic Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Chapter 1: Reliable, Scalable, and Maintainable Applications
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 Kleppmann Martin. ISBN: 9781449373320. Price: €
Designing Data-intensive Applications : The Big Ideas Behind
Designing Data-intensive Applications : The Big Ideas Behind Reliable, Scalable, structure their applications to make them scalable, reliable, and maintainable in the You'll learn how to develop an intuition for what your systems are doing,
Designing Data- Intensive Applications - Pentaho
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).
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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
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).
Data Integration Resources in Resources | Pentaho | Page 1
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Pentaho 5.4 expands on a Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook.
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
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Designing Data-Intensive Applications (2015 book) - Quora
an O'Reilly book by Martin Kleppmann (The Wild Boar Book) The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
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