An Experimental Implementation of Map Reduce on the Hadoop for Analyzing Big Data
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. The already existing MapReduce Technique
had been compared with Hadoop to afford high performance and efficiency for large volume of dataset. Hadoop
distributed architecture with MapReduce programming is analysis here.
Author (s) Details
Gul Shaira Banu Jahangeer
Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, India, Srivilliputhur, Tamil Nadu, India.
Faculty of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamilnadu, India.
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