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Big Data Scrutiny and Evaluation of Hadoop


Ahmed Hussain , ASCT, Bhopal, India


Big Data, Hadoop, NoSQL, HDFS, MapReduce, CAP Theorem


Utilization of internet, convivial networking sites, astute phones, censor contrivances, monitoring contrivances, online shopping, transactions in stock exchanges, individual medical records in hospitals, images and censor data sent by satellites and many of such kind are swelling at a very high rate day by day despite drop of cost of storage contrivance. Consequently the World is accumulated with astronomically immense amount of data of different kind and structure at each moment. Traditional Data Base Management System or Distributed Database Management System or Structured query language does not have enough flexibility to store and analysis these immensely colossal volumes of ever growing multi-structured data. However these data sparsely contain much consequential information with considerable business values for ecumenical economy and additionally contain information or statistics to be utilized for gregarious welfare schemes. This paper addresses research issues with massively colossal Data Analysis, emergence of Immensely Colossal Data analysis technologies from last decade along with its draw backs and further amelioration scope, and additionally addresses impact of immensely colossal Data analysis on individual and society.

Other Details

Paper ID: IJSRDV5I50956
Published in: Volume : 5, Issue : 5
Publication Date: 01/08/2017
Page(s): 946-949

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