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Big Data Computing
book

Big Data Computing

by Rajendra Akerkar
December 2013
Intermediate to advanced
564 pages
19h 54m
English
Chapman and Hall/CRC
Content preview from Big Data Computing
113Big Data
and out. This includes direct access with standard protocols
using existing tools and applications.
Is there a real need for it? See also Big Data Myth later.
An Example of an Advanced User: Amazon
“We chose Hadoop for several reasons. First, it is the only available frame-
work that could scale to process 100s or even 1000s of terabytes of data and
scale to installations of up to 4000 nodes. Second, Hadoop is open source and
we can innovate on top of the framework and inside it to help our customers
develop more performant applications quicker.
Third, we recognized that Hadoop was gaining substantial popularity
in the industry with multiple customers using Hadoop and many vendors
innovating on top of Hadoop. Three years la ...
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Publisher Resources

ISBN: 9781466578388