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



Implementation detail behind a clean, simple-to-understand façade. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. How does your database store data on disk reliably? An O'Reilly book by Martin Kleppmann (The Wild Boar Book) The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Watch this 3-min overview 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. O'Reilly eBook: Designing Data Intensive Applications. Filename, : Joinebook.com_OReilly.Media.Designing.Data.Intensive.Applications .April.2015.pdf. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Fishpond Australia, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Drawing from the experience of building scalable systems at LinkedIn and other startups, this talk explores why logs are such a fine idea: making it easier to maintain search Designing Data-Intensive Applications Big surprise: they use a log! A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log!





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