Publication:
Big Data : Principles and Best Practices of Scalable Realtime Data Systems
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Abstract
SummaryBig Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built.Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the BookWeb-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.
Description
Authors
Warren, James
Marz, Nathan
Alternate Authors
Advisor
Place of publication
Shelter Island, NY
Publisher
Manning
Date
2015
Journal ISSN
Volume Title
Keywords
Database management , Big data , Database design , Data mining
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Please use the UNETI DRM to download/borrow digital documents
