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Designing Data-Intensive Applications: The Big
Designing Data-Intensive Applications: The Big

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. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Video Designing Data Intensive Applications The Big Ideas Behind Reliable Scalable and Maintainable System Computer science. Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. How does your database store data on disk reliably? With WantItAll.co.za's Books sto. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems on sale now. 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. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.





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