Abstract

Data is not a new term in the field of computer science, but Big Data is essentially a new word. When data grows beyond the capacity of currently existing database tools, it begins to be referred as Big Data. Big Data posses a grand challenge for both data analytics and database. The central theme of this research paper is concerned with handling huge amount of data that is concerned with different formats of elections that are been contested in India. We have initially limited my database only to Punjab state. It is no more a hidden fact that in future elections will be fought on the basis of statistics and figures and not on the basis of caste and religion. We have created a structured database which includes thirteen different attributes providing information related to different candidates who have contested MP elections in different districts of Punjab state. These attributes are candidates name, political party to which they belong, there assets, there liabilities, criminal cases registered on them, number of votes obtained, percentage of votes obtained, chances of winning next elections etc. In this research paper we will discuss Apache Hadoop framework which makes use of Map-Reduce technology. The objective behind this research paper is to assist common electorates of Punjab state to take best decision on the basis of previous track record of politician or political party and decide who to vote for to get better governance.