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Big Data: Principles and best practices of scalable realtime data systems

Nathan Marz, James Warren




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 | #58968 in Books |  Manning Publications |  2015-05-10 | Original language:English | PDF # 1 |  9.10 x.60 x7.30l,.0 | File type: PDF | 328 pages

 | Manning Publications

||4 of 4 people found the following review helpful.| If you are looking for a survey of different approaches ...|By Customer|If you are looking for a survey of different approaches of handling big data, you want to read "ELEMENTS OF SCALE: COMPOSING AND SCALING DATA PLATFORMS". ([...]) This book is dedicated to Lambda Architecture (one that is surveyed in the above article.)

The book is very organized. Introduction in|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 infra

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 in practice...

You easily download any file type for your gadget.Big Data: Principles and best practices of scalable realtime data systems   |  Nathan Marz, James Warren. A good, fresh read, highly recommended.

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