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Authors
Affiliations
1 Cognizant Technology Solutions, Chennai - 600028, Tamil Nadu, IN
2 System Design Associate, Global Knowledge Network India Private Limited, Chennai, IN
3 Department of Computer Science, Sri Venkateswara College of Engineering, Tirupati – 517502, Andhra Pradesh, IN
4 Sathyabama University, Chennai – 600119, Tamil Nadu, IN
5 Amazon Development Center, Chennai, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 31 (2016), Pagination:
Abstract
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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