[PDF] Designing Data-Intensive Applications:
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Martin Kleppmann
Designing-Data-Intensive.pdf
ISBN: 9781449373320 | 500 pages | 13 Mb
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
- Martin Kleppmann
- Page: 500
- Format: pdf, ePub, fb2, mobi
- ISBN: 9781449373320
- Publisher: O'Reilly Media, Incorporated
Download spanish books Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Want to know how the best software engineers and architects structure their applications to make them scalable, reliable, and maintainable in the long term? This book examines the key principles, algorithms, and trade-offs of data systems, using the internals of various popular software packages and frameworks as examples. Tools at your disposal are evolving and demands on applications are increasing, but the principles behind them remain the same. You’ll learn how to determine what kind of tool is appropriate for which purpose, and how certain tools can be combined to form the foundation of a good application architecture. You’ll learn how to develop an intuition for what your systems are doing, so that you’re better able to track down any problems that arise.
Designing Data-Intensive Applications : The Big Ideas Behind - Hive
Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems.
Designing Data-Intensive Applications: The Big Ideas Behind
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Data Integration eBook - Pentaho
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Type: eBook. Product: Data Integration, Big Data
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Designing Data-Intensive Applications, by Martin Kleppmann Subtitled "the big ideas behind reliable, scalable and maintainable systems",
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. No Synopsis Available
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, structure their applications to make them scalable, reliable, and maintainable in the
Designing Data-intensive Applications: The Big Ideas Behind
イベント名, Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems 発売日. イベント日時, 2016年1月25日(月).
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Designing Data Intensive Applications The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Author: Martin Kleppmann Publisher: O'Reilly
Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, structure their applications to make them scalable, reliable, and maintainable in the This book examines the key principles, algorithms, and trade-offs of data systems,
kafka | Data Intensive
We have to design the system thinking that the system can grow in A complex enterprise application uses different kinds of data, and needs The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin
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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.
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