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A Review on Contributation of Bigdata over Social Media


Author(s):

Rubal Sood , Sri Sai University Palampur; Rahul Mahajan, Sri Sai University,palampur

Keywords:

Big data, volume, velocity, variety, veracity, social media, Hadoop and Map Reduce. Hive, pig, Flume

Abstract:

The phenomenon of Big Data refers to the exponential growth in the volume of data available in digital form as well as in business on the internet. This is a set of technologies and algorithms to sort in real time a considerable amount of data on the Web, and to identify more subtle user behavior. Each individual involved in this phenomenon by dispersing data on their actions accumulated by social networks, applications, mobile or connected objects. The increment in information accumulation over the social network has increment from a modest KB to PB. This data collection has no positive mass for memory request for storage. The current graphs from various sites show great variations for data collection. So we can't stick to one particular technique to resolve the data storage issue. We need to compress on various level. In this paper, I am clarifying different progressing pattern for Big-data handling over the Social networks.


Other Details:

Manuscript Id :IJSTEV2I1028
Published in :Volume : 2, Issue : 1
Publication Date: 01/08/2015
Page(s): 213-217
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