Marz, Warren -- Big Data -- 2015 pdf

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Description

Big Data: Principles and best practices of scalable realtime data systems
Authors: Nathan Marz, James Warren


Genres
Programming
Technical
Technology
Computer Science
Software
Nonfiction
Architecture
...more

Description:
Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. As scale and demand increase, so does Complexity. Fortunately, scalability and simplicity are not mutually exclusive—rather than using some trendy technology, a different approach is needed. Big data systems use many machines working in parallel to store and process data, which introduces fundamental challenges unfamiliar to most developers.

shows how to build these 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 use them in practice, and how to deploy and operate them once they're built.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Goodreads page:
https://www.goodreads.com/en/book/show/13421400-big-data

Please note that this description is auto-generated by a bot, if you find the description incorrect then please report in the comments. Description will be edited accordingly afterwards.



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Marz, Warren -- Big Data -- 2015 pdf


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