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Comparing Implementation Features of Map Reduce in RDBMS with Distributed Cluster

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International Conference on Current Trends in Advanced Computing (ICCTAC-2015)
© 2015 by IJCA Journal
ICCTAC 2015 - Number 2
Year of Publication: 2015
Authors:
Mohammed Muddasir N
Ranjitha H C
Meghana S

Mohammed Muddasir N, Ranjitha H C and Meghana S. Article: Comparing Implementation Features of Map Reduce in RDBMS with Distributed Cluster. International Conference on Current Trends in Advanced Computing (ICCTAC-2015) ICCTAC 2015(2):19-24, May 2015. Full text available. BibTeX

@article{key:article,
	author = {Mohammed Muddasir N and Ranjitha H C and Meghana S},
	title = {Article: Comparing Implementation Features of Map Reduce in RDBMS with Distributed Cluster},
	journal = {International Conference on Current Trends in Advanced Computing (ICCTAC-2015)},
	year = {2015},
	volume = {ICCTAC 2015},
	number = {2},
	pages = {19-24},
	month = {May},
	note = {Full text available}
}

Abstract

Data processing techniques are becoming more innovative as the amount of data grows. Here we are exploring such techniques to process big data one is the traditional RDBMS approach and the other distributed approach. We came across certain advantages and disadvantages of both the approaches. RDBMS is a very highly used technology for data processing by various organizations and replacing it with new technology has a lot of challenges. Distributed processing is the need of the hour and technologies like Hadoop, map reduce etc. [1] is being used for processing Big Data. There is a debate on which technology to use for processing data and we have just explored some possible results measuring both the technologies.

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