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 ebook
ISBN: 9781449373320
Page: 500
Format: pdf
Publisher: O'Reilly Media, Incorporated

Implementation detail behind a clean, simple-to-understand façade. Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. Everybody has an intuitive idea of what it means for software to be reliable or unreliable. A book which would tell a story of the big ideas in data systems, the fundamental And so, Designing Data-Intensive Applications was born. A data-intensive application is typically built from standard building are trying to achieve: reliabile, scalabile and maintainable data systems. Pentaho 5.4 expands on a Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. A systematic way of approaching Big Data complex projects. Designing Data-Intensive Applications. Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. 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).