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



Leggere libri scaricare libri Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems | libridaleggere.co. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. Designing Data-Intensive Applications. This book compares the fundamental ideas behind a broad variety of systems. Design and build complex, scalable commercial-grade systems with the Open Prime. This framework is a template for design data pipelines with different requirements: such as Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Amazon.co.jp： Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: Martin Kleppmann: 洋書. Â�ベント日時, 2016年1月25日(月). Filename, : Joinebook.com_OReilly.Media.Designing.Data.Intensive.Applications .April.2015.pdf. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. In order to design a complete Data Ingestion Architecture and choose the right tools for it, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). ś�书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. A systematic way of approaching Big Data complex projects.





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