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

Nathan Marz, James Warren




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 | #60039 in Books |  2015-05-10 | Original language:English | PDF # 1 |  9.10 x.60 x7.30l,.0 | File type: PDF | 328 pages

||4 of 4 people found the following review helpful.| Written by a specialis|By Dimitri K|This book is written by a specialist in big data. I know that because I worked on the big data pipeline. And now I read the book and I see that all my problems are addressed in this book. Virtually every problem discussed appeared in my pipeline too, as if the author worked with me on my project.

The other very useful for me featur|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 device.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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