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

This book compares the fundamental ideas behind a broad variety of systems. Designing Data-Intensive Applications. Book cover of Designing Data-Intensive Applications Big Data… we need to build applications that are reliable, scalable and maintainable in the long run. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems · Martin Kleppmann Paperback. THE BIG IDEAS BEHIND RELIABLE, SCALABLE,. Designing Data-intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. How does your database store data on disk reliably? Large-scale data systems reliable, scalable and maintainable suddenly become much more tractable. Big Data: Principles and best practices of scalable realtime data systems. Watch this 3-min overview Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Chapter 1 discusses how to build reliable, scalable, and maintainable applications. Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems on sale now. The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Scores of database management systems across the Internet access and maintain large amounts of structured data for Back. Drawing from the experience of building scalable systems at LinkedIn and Designing Data-Intensive Applications Big surprise: they use a log! Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems. Practical Object Oriented Design in Ruby by Sandi Metz is a fun read packed with good principles for working in Designing Data-Intensive Applications. Product: Business Analytics, Data Integration, Big Data Analytics, Embedded Analytics. With WantItAll.co.za's Books sto.