Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Martin Kleppmann

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems


Designing.Data.Intensive.Applications.The.Big.Ideas.Behind.Reliable.Scalable.and.Maintainable.Systems.pdf
ISBN: 9781449373320 | 500 pages | 13 Mb


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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
Publisher: O'Reilly Media, Incorporated



Pentaho 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. Design and build complex, scalable commercial-grade systems with the Open Prime. Â�ベント日時, 2016年1月25日(月). Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems · Martin Kleppmann Paperback. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. An O'Reilly book by Martin Kleppmann (The Wild Boar Book) The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Buy a discounted Paperback of Designing Data-Intensive Applications online from The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Big Data: Principles and best practices of scalable realtime data systems. How does your database store data on disk reliably? Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Implementation detail behind a clean, simple-to-understand façade. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Kleppmann Martin. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. ś�书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. 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: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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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