Big Data Analytics on Unemployment & Health Records
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 10
Abstract
Now a day’s huge amount of data is produced from the social web sites, government industries, public sectors etc., Storing and Maintaining the data is big challenge which is solved by special databases and programming languages. Traditional data bases and programming languages are in sufficient to handle big data. Hadoop is a tool which is designed for storing and processing data in distributed way. In this paper, analysis of big data is done by using hive, R programming. The graphical representation of big data is done by suing Tableau software. In this, unemployment dataset analyzed by hive with built functions and health records data set is analyzed by statistical chi-square and fisher test .This analyzing makes a better understanding of data and which improves the prediction of diseases according to their habits.
Authors and Affiliations
Kamparapu. Bhanu Rajesh Naidu, Battula. Lakshmana Rao
Keywords
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