CONFIGURING HADOOP ON WINDOWS PLATFORM AND RUNNING A MAPREDUCE APPLICATION TO PROCESS TEXT DATA ON A SINGLE NODE

Manishkumar R Solanki, Yashvi Shah, Siddhi Shukla, Shrusti Talati

Abstract: The advent of new pervasive devices, social web sites and other data sources has generated a huge volume of data with greater variety and velocity. Hadoop is an open source platform that can process this data over thousands of distributed affordable commodity nodes and deliver predictive insights. In this paper we are presenting the process of installing and configuring Hadoop on Windows platform. We are also running one MapReduce application performing text data processing on a single node.

Keywords: Big data, Hadoop, Java, MapReduce, Open Source

DOI: https://doi.org/10.15623/ijret.2016.0507009