Background: In this astronomically immense world tremendous amount of data engendering
in every minute from the different domain which is referred to Big Data. In the last few
years the data is incrementing day by day across the world. This Research fixates on the analysis of
malefaction rates of 5 different states year wise, all the analysis is done utilizing Apache Pig.
Methods: The goal of the work is to analyze the astronomically immense malefaction data and find
the estimate number of malefaction transpires in sundry states. This is done in Apache pig environment
utilizing “Pig Latin” as language. A short code is indicted in Pig Latin which is utilized to
load and process the data into Map reduce environment, afterwards the result are obtained with the
detail of minimum and maximum mapper and reducer timing.
Result: The data is visualized into graphs to make analysis to analyze the variation of malefaction
rates in distinct states. After analyzing the malefaction against women, murder cases are very high
in 2006-2010 as compared to other year groups whereas abducting and rape cases incremented perpetually
from 2001 to 2014 respectively. Similarly all the reports regarding to different malefaction
rates are visualized above by utilizing graphs.
Conclusion: Various results are found with sundry queries and everything is represented graphically
for better understanding and comparison. This avails us to find which state is affected by which
crime. The expeditiousness of Apache pig can additionally be optically discerned as this immensely
colossal crime data processed in short time with precision.