Big Data
principles and best practices of scalable real-time data systems
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Word Count
77,000 words, Guess
Page Count
308 pages
Physical Format
Paperback
Identifiers
- Internet Archivebigdataprinciple0000marz
- ISBN-101617290343
- ISBN-139781617290343
- Library of Congress Control Number2015458165
- OCLC Control Number909039685
and 2 more
- Better World Books9781617290343
- Open LibraryOL26367816M
Classifications
- LCCQA76.9.D3 M374 2015
- LCCQA76.9.D3
- LCCQA76.9.D3 M393 2015
Description
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. What's inside: Introduction to big data systems; Real-time processing of web-scale data; Tools like Hadoop, Cassandra, and Storm; Extensions to traditional database skills. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. - Back cover.
Subjects
Other Editions
- Big Data: principles and best practices of scalable real-time data systems
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