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



This book compares the fundamental ideas behind a broad variety of systems. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Buy Designing Data-Intensive Applications by Martin Kleppmann with free worldwide The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. 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. Philip (flip) Kromer Paperback. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Implementation detail behind a clean, simple-to-understand façade. Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. 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. Download Designing Data-Intensive Applications: The Big Ideas Behind Reliable , Scalable, and Maintainable Systems eBook PDF File. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.





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