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 ebook for free for mobile Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann iBook MOBI ePub (English Edition) 9781449373320
Designing Data-Intensive Applications - Download eBook PDF Designing Data-Intensive Applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. by Martin Kleppmann. Year: 2015. Pages: 144.
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems This book examines the key
collection | Data Intensive A systematic way of approaching Big Data complex projects. 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).
1. Reliable, Scalable and Maintainable Applications - Designing A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. implementation detail behind a clean, simple-to-understand façade.
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