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



Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems · Martin Kleppmann Paperback. Â�ベント日時, 2016年1月25日(月). A systematic way of approaching Big Data complex projects. Big Data: Principles and best practices of scalable realtime data systems. Philip (flip) Kromer Paperback. 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. Design and build complex, scalable commercial-grade systems with the Open Prime. Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. 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). Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Buy Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems at Walmart.com. 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).





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