Implementation of Word Count- Hadoop Framework with Map Reduce Algorithm

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-49 Number-3
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. 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.

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Word Count Program, Apache Hadoop, Map Reduce, Big Data, Parameters.