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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
300 Big Data Computing
However, this comes at a cost: they may be more exible, but the interfaces
are also signicantly more low level and difcult to understand. Another
difference between MapReduce and this model is the hardware for which
each of these platforms has been designed. MapReduce is supposed to work
on commodity hardware, while interfaces such as OpenMP are only efcient
in shared-memory multiprocessor platforms.
Examples and Uses of MapReduce
MapReduce is currently being used for many different kinds of applica-
tions, from very simple helper tools that are part of a larger environment, to
more complete and complex programs that may involve multiple, chained
MapReduce executions.
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Publisher Resources

ISBN: 9781466578388