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Synopsis
Summary
Big 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...
About the Author
Nathan Marz is currently working on a new startup. Previously, he was the lead engineer at BackType before being acquired by Twitter in 2011. At Twitter, he started the streaming compute team which provides and develops shared infrastructure to support many critical realtime applications throughout the company. Nathan is the creator of Cascalog and Storm, open-source projects which are relied upon by over 50 companies around the...
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- PublisherManning
- Publication date2015
- ISBN 10 1617290343
- ISBN 13 9781617290343
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages328
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Big Data:Principles and Best Practices of Scalable Realtime Data Systems
Published by
Manning Publications Co. LLC, 2015
ISBN 10: 1617290343
ISBN 13: 9781617290343
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