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



ś�书Designing Data-Intensive Applications 介绍、书评、论坛及推荐. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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. Big Data: Principles and best practices of scalable realtime data systems. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems [Martin Kleppmann] on Amazon.com. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems · Martin Kleppmann Paperback. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,.





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