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MRDS Data Processing and Mining using Hadoop in Cloud

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 90 - Number 10
Year of Publication: 2014
Authors:
Ravindra P. Bachate
H. A. Hingoliwala
10.5120/15753-4260

Ravindra P Bachate and H A Hingoliwala. Article: MRDS Data Processing and Mining using Hadoop in Cloud. International Journal of Computer Applications 90(10):1-3, March 2014. Full text available. BibTeX

@article{key:article,
	author = {Ravindra P. Bachate and H. A. Hingoliwala},
	title = {Article: MRDS Data Processing and Mining using Hadoop in Cloud},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {90},
	number = {10},
	pages = {1-3},
	month = {March},
	note = {Full text available}
}

Abstract

This project explores the use of Hadoop framework for MRDS (Mineral Resources data system) data processing and mining in cloud. Cloud computing provides efficient computation and analysis for large data. To improve the performance of system for massive data, Hadoop provides Map Reduce technique. Hadoop has a distributed file system (HDFS) that stores data on the cluster nodes. This project focuses on to provide real time information of mineral resources stored in cloud environment with minimum data processing time. Storing MRDS data in to the cloud ensures the availability and reliability of it.

References

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