Volume & Issue no: Volume 4, Issue 6, November - December 2015
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Title: |
An Insight on Big Data Analytics Using Pig Script |
Author Name: |
J.Ramsingh, Dr V.Bhuvaneswari |
Abstract: |
Abstract
Today, the advancement in organizations across public and
private sectors have made unprecedented growth in data,
From the analysis it’s predicted that the digital universal data
will be 35 trillion gigabytes by 2020. The massive growth in
data so called big data, emerges out with a lot of challenges.
To name a few, managing the huge volume of data, analyzing
it , storing and the visualizing data . Numerous big company
partners comes out with various alternative solutions. Out of
which, the most familiar framework that provides a good
solution is the Hadoop Ecosystem. The word Ecosystem is
coined as the framework is the combination of many
components. The two most vital components in the Ecosystem
are the hadoop distributed file system and the Map Reduce.
The former is the storage part of hadoop and the later is the
processing part. In this paper we strive hard to focus on the
processing part of the hadoop. The Map reduce process need
some technical experts to process Big Data. Apache Pig is one
of the Hadoop component used to process Big Data in
minimum time duration with less technical knowledge. In this
paper an insight on Big Data analytics using pig script is
made using Library data set. From the analytics the frequent
library users, the books accessed frequently by the students,
authors preferred routinely by the students, and most regular
date and time of students are analyzed.
Keywords:- Big Data, Map Reduce, Hadoop, Apache Pig,
HDFS |
Cite this article: |
J.Ramsingh, Dr V.Bhuvaneswari , "
An Insight on Big Data Analytics Using Pig Script " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 4, Issue 6, November - December 2015 , pp.
084-090 , ISSN 2278-6856.
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