EFFICIENT BIG DATA ANALYSIS USING HADOOP FRAMEWORK FOR SENSOR NETWORK DATA

Sahana V P · International Journal of Advanced Research in Computer Science · 2018

In the era of rapid development of the technology, Wireless Sensor Networks is also a field that is been developing and already reached a stage where thousands of nodes in a network will be present and they store and also deliver a vast amount of data. We are living in the age where an explosive amount of data is being generated every day. Majorly the data from sensors, mobile devices, social networking websites, scientific data & enterprises are contributing to a maximum extent for this huge explosion of data. The major problem will be the amount of data collected, its storage and processing. So in an order to store, load and process the large scale sensory data we propose a paper that enable the efficient and effective analysis of the Big Data and also handling the large volumes carried out on the Hadoop platform.

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