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



Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! An O'Reilly book by Martin Kleppmann (The Wild Boar Book) The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Big Data: Principles and best practices of scalable realtime data systems. Â�ベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. Â�ベント日時, 2016年1月25日(月). 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. Designing Data-Intensive Applications. How does your database store data on disk reliably? The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Nathan Marz · 4.5 out of 5 stars 21 Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Av Martin Kleppmann ( häftad , 2016). Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision.





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