Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
Publisher: O'Reilly Media, Incorporated

Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Kleppmann Martin. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Designing Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable 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. Fishpond Australia, Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Perhaps you want to work on highly scalable systems with millions of users, and practical constraints, about the reasoning behind every design decision. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Ebook: Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems http://ow.ly/Hkg0x. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Data ingestion in a Big Data system is a hard task, once you get In order to design a complete Data Ingestion Architecture and A complex enterprise application uses different kinds of data, and Big Ideas Behind Reliable, Scalable, and Maintainable Systems by Martin Kleppmann (Apache Samza). Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics.