[PDF] Designing Data-Intensive Applications:
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
Ebook epub gratis download 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.
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Designing Data Intensive Applications: The Big Ideas Behind
Designing Data Intensive Applications: The Big Ideas Behind It looks at examples of successful data systems and discusses their key THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE SYSTEMS
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Designing Data-Intensive Applications - O'Reilly Media
Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. By Martin Kleppmann. Publisher: O'Reilly Media.
Designing Data-Intensive Applications: The Big Ideas Behind
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann, 9781449373320, available
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).
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: 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,
English Resources | Big Data Analytics in Resources | Pentaho
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
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Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
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
Big Data Analytics in Resources in Resources | Pentaho | Page 1
Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
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