An Implementation of Map Reduce on the Hadoop for Analyzing Big Data release_h7snclnpznborj7jofdrhjlpoy

Published in International journal of recent technology and engineering by Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP.

2019   Issue 4S2, p712-716

Abstract

The Speedy development of Internet has led to huge quantities of digital data available online and vast capacity of digital data is increasing and successfully stored. In demand to the process, analyzed, and linked huge volume of stored data to achieve correct Information, some computation is required. Even efficient processing and implementation is needed for scientific data performance analysis. We will compare with already existing MapReduce Technique with Hadoop to afford high performance and efficiency for large volume of dataset. Hadoop distributed architecture with MapReduce programming is analysis here.
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Type  article-journal
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Date   2019-12-31
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ISSN-L:  2277-3878
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