Implementation of Word Count- Hadoop Framework with Map Reduce Algorithm
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-49 Number-3 |
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| Year of Publication : 2017 | ||
| Authors : Keerthi.Bangari, Sujitha.Meduri, Ch.CY.Rao | ||
| DOI : 10.14445/22312803/IJCTT-V49P128 |
Keerthi.Bangari, Sujitha.Meduri, Ch.CY.Rao "Implementation of Word Count- Hadoop Framework with Map Reduce Algorithm". International Journal of Computer Trends and Technology (IJCTT) V49(3):179-182, July 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
In the technological world there are
number of technologies which are generating a
large amount of data day by day that leads to
formation of a technology called Big Data. Big Data
deals with the large and unstructured data that can
be computationally analysed to reveal the trends and
patterns of a data. In this paper the basic program
called Word Count Map Reduce program executed
in apache hadoop with a single node setup. Altering
in input files and reducing the number of tasks that
makes the changes in execution of a program. The
aim of this paper is running the Word Count
program with different parameters.
References
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Keywords
Word Count Program, Apache
Hadoop, Map Reduce, Big Data, Parameters.