Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems



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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann ebook
Format: pdf
ISBN: 9781449373320
Page: 500
Publisher: O'Reilly Media, Incorporated


Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. Price: $28.06; Rating: 0 out of 5 (0 ratings). A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. Pentaho Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. How does your database store data on disk reliably? Everybody has an intuitive idea of what it means for software to be reliable or unreliable. Av Martin Kleppmann ( häftad , 2016). Implementation detail behind a clean, simple-to-understand façade. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics Hadoop for the Enterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Designing Data-Intensive Applications.





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