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



Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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). How does your database store data on disk reliably? Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. A systematic way of approaching Big Data complex projects. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. This book compares the fundamental ideas behind a broad variety of 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! Design and build complex, scalable commercial-grade systems with the Open Prime. Chapter 1 discusses how to build reliable, scalable, and maintainable applications.





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