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



Reviews and review ratings for Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems at Amazon.com. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Philip (flip) Kromer Paperback. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. In order to design a complete Data Ingestion Architecture and choose the right tools for it, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Big Data for Chimps: A Guide to Massive-Scale Data Processing in Practice. Implementation detail behind a clean, simple-to-understand façade. A systematic way of approaching Big Data complex projects. Designing Data-Intensive Applications.





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