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Big Data Processing

Author(s):

Prajitha P , DR.SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE; Dr. V. Kathiresan, DR.SNS RAJALAKSHMI COLLEGE OF ARTS AND SCIENCE

Keywords:

Big data difficulty, Hadoop, cluster, Map Reduce

Abstract

The fast expansion of Internet and world wide website has led to vast amounts of information available online. This information needs to be processed, analyzed, and associated to complete correct in sequence with the reason of store, handle, access, and procedure free amount of data presented online and the data that is created in structured and unstructured type, Data logical computing is required which satisfy have to be search, analyze, mine, and visualize the huge quantity of data and information. at present a variety of data concentrated technologies equivalent, map reduce are used which uses computing applications which require huge volumes of data and assign mostly of their processing time to input and output and utilization of data. We will study previously available Data thorough technologies with Hadoop data complete to provide high look that be supposed to be fault flexible more than hardware failures, reduce communications errors, and software bugs and execute a variety of data concentrated analysis level.

Other Details

Paper ID: IJSRDV5I70459
Published in: Volume : 5, Issue : 7
Publication Date: 01/10/2017
Page(s): 1110-1111

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