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Volume & Issue no: Volume 6, Issue 7, July 2017

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Title:
Hadoop: A framework for Big Data Processing & Storage
Author Name:
Yojna Arora, Dr Dinesh Goyal
Abstract:
ABSTRACT Big Data has become big enough to be handled by traditional technologies and algorithms. Rather than bringing the computation to data it is the other way round, it is cheaper to bring the computation algorithm to place where data is residing. Many techniques to deal with this Big Data have been implemented in recent past, Hadoop is one such technology. It is an oen source software library that provides distributed computing of large data sets. This paper contains a detailed description of Hadoop, its architecture components, the applied Hadoop stack used by industries and processing framework Keywords: Hadoop, Map Reduce, HDFS, YARN,
Cite this article:
Yojna Arora, Dr Dinesh Goyal , " Hadoop: A framework for Big Data Processing & Storage" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 6, Issue 7, July 2017 , pp. 091-098 , ISSN 2319 - 4847.
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