Indian Journal of Science and Technology
DOI: 10.17485/ijst/2016/v9i31/83451
Year: 2016, Volume: 9, Issue: 31, Pages: 1-6
Original Article
Praveen Kumar Rajendran1*, A. Asbern2 , K. Manoj Kumar3 , M. Rajesh4 and R. Abhilash5
1 Cognizant Technology Solutions, [email protected]
2 System Design Associate, [email protected]
3 Department of Computer Science, [email protected]
4 Sathyabama University, [email protected]
5 Amazon Development Center, [email protected]
*Author for correspondence
Praveen Kumar Rajendran
Cognizant Technology Solutions,
Email: [email protected]
Organizing and maintaining the big data are the two major concerns which have led to many challenges for the organization. The main objective of this research work is to give an overall idea about organizing Big data with High performance. MapReduce is one of the commonly used techniques which is used to analyze a large volume of data in an efficient manner. A common overview of Big data and the implementation of the MapReducing technique on Biomedical Big Data has been discussed in this paper with an algorithm. Discussion on performance analysis of MapReducing technique being will open the doors for further research activities in Big Data Analytics and MapReducing technique. Highlight of this research work is the data which has been selected and the output of the research work has been openly discussed to help the beginners of Big data. The proposed research work will give an insight about the implementation of Hadoop Distributed File System for small and medium sized business.
Keywords: Big Data, Big Data analytics, Biomedical Data Analysis, MapReduce, Performance
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