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



Design and build complex, scalable commercial-grade systems with the Open Prime. Reviews and review ratings for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems at Amazon.com. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. Scores of database management systems across the Internet access and maintain large amounts of structured data for Back. Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Chapter 1 discusses how to build reliable, scalable, and maintainable applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. How does your database store data on disk reliably? 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. [Free] Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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. Â�ベント日時, 2016年1月25日(月). O'Reilly eBook: Designing Data Intensive Applications.