[Pdf/ePub] Designing Data-Intensive
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
- Martin Kleppmann
- Page: 500
- Format: pdf, ePub, mobi, fb2
- ISBN: 9781449373320
- Publisher: O'Reilly Media, Incorporated
Free audio downloads books Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems CHM FB2 iBook
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
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Designing Data-Intensive Applications
Part I. The Big Picture Chapter 1. Reliable, Scalable and Maintainable Applications Thinking About Data Systems Reliability Scalability Maintainability Chapter 2
Designing Data-Intensive Applications: The Big Ideas Behind
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Designing Data- Intensive Applications - Pentaho
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).
Designing Data-Intensive Applications: The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Big Data: Principles and best practices of scalable realtime data systems.
Designing Data-Intensive Applications Martin Kleppmann - vas3k ru
Part I. The Big Picture. Reliable, Scalable and Maintainable Applications If you are designing a data system or service, a lot of tricky
Designing Data-Intensive Applications: The Big Ideas Behind
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Designing DataIntensive Applications The Big Ideas Behind
Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann. (Paperback
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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O'Reilly eBook: Designing Data Intensive Applications (Pentaho
O'Reilly eBook: Designing Data Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. This O'Reilly eBook will help you
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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