Improvement in Performance of Hadoop using Hace Process and Word Count Result with Bigdata

Authors(2) :-Prof. Vivek Badhe, Shweta Verma

Figuring innovation has changed the way we work, concentrate on, and live. The appropriated information preparing innovation is one of the mainstream themes in the IT field. It gives a straightforward and concentrated registering stage by lessening the expense of the equipment. The attributes of circulated information preparing innovation have changed the entire business. Hadoop, as the open source undertaking of Apache establishment, is the most illustrative stage of circulated enormous information handling. The Hadoop conveyed structure has given a protected and quick huge information preparing engineering. The clients can outline the appropriated applications without knowing the points of interest in the base layer of the framework. This proposal gives a brief prologue to Hadoop. Because of the multifaceted nature of Hadoop stage, this proposal just focuses on the center advancements of the Hadoop, which are the HDFS, MapReduce, and HACE.

Authors and Affiliations

Prof. Vivek Badhe
Department of Computer Science & Engineering, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India
Shweta Verma
Department of Computer Science & Engineering, Gyan Ganga College of Technology Jabalpur, Madhya Pradesh, India

Hadoop, Big Data, HDFS, MapReduce, HACE, Data Processing

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2016
Date of Publication : 2016-10-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 36-40
Manuscript Number : IJSRSET16258
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Prof. Vivek Badhe, Shweta Verma, " Improvement in Performance of Hadoop using Hace Process and Word Count Result with Bigdata, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 5, pp.36-40, September-October-2016.
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