Big Data Analytics: Map Reduce Function
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-47 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : S.Swarnalatha, K.Vidya | ||
| DOI : 10.14445/22312803/IJCTT-V47P112 |
S.Swarnalatha, K.Vidya "Big Data Analytics: Map Reduce Function". International Journal of Computer Trends and Technology (IJCTT) V47(2):91-94, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Big data often refers simply to the use
of predictive analytics, user behavior analytics, or
certain other advanced data analytics methods that
extract value from data, and seldom to a particular size
of data set. Big data analytics is the process of
examining large and varied data sets i.e., big data -- to
uncover hidden patterns, unknown correlations, market
trends, customer preferences and other useful
information that can help organizations make moreinformed
business decisions. The utilization of Big Data
Analytics after integrating it with digital capabilities to
secure business growth and its visualization to make it
comprehensible to the technically apprenticed business
analyzers. Analyzing big data is a very challenging
problem today, for such applications; the Map Reduce
framework has recently attracted a lot of attention.
Google’s Map Reduce or its open-source equivalent
Hadoop is a powerful tool for building such
applications. In this paper, we explained Map Reduce
function with sample data.
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Keywords
Map Reduce, Big Data, Data Set.