An Experimental Implementation of Map Reduce on the Hadoop for Analyzing Big Data | Chapter 7 | Theory and Practice of Mathematics and Computer Science Vol. 1

 

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.

T. Dhiliphan Rajkumar

Faculty of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Tamilnadu, India.

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