Big Data: Principles and Best Practices of Scalable Real-Time Data Systems
  • Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

ISBN: 9789351198062

649.00 519

Book Author: Nathan Marz
ISBN -13: ISBN: 9789351198062
Publisher: DreamTech Press ,
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Categories: Computer (Basics-Professional), Other Reference / Text Books,

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About The Book

Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You’ll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you’ll learn specific technologies like Hadoop, Storm, and NoSQL databases.

Book Specification

Book Author: Nathan Marz Language: English
ISBN -13: 9789351198062 Binding: --
Publisher: DreamTech Press , Total Pages: --
Year: 2020 Size: --

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