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
Ebooks download ipad Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems iBook by Martin Kleppmann in English
Designing Data-Intensive Applications: The Big Ideas Behind Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Big Data: Principles and best practices of scalable realtime 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.
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.
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
Digital (dis)content Designing Data-Intensive Applications, by Martin Kleppmann Subtitled "the big ideas behind reliable, scalable and maintainable systems",
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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
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