REMOTE ONLINE BIG DATA ANALYTICS ARCHITECTURE

Nagalakshmi D R, Suma R, Bhavya N Javagal

Abstract: There is a massive amount of real-time data produced from remote sense analytics which is generally referred as “Big Data”. There is an increased change in the Big Data and its analysis majorly in the research field and applications such as processing, mining, querying and distributing. There is a great need to collect the real-time data and extract the useful information which is later used for computational purposes. This paper describes Big Data Analytics architecture which is used in data analysis. The architecture which is designed consists of three modules, such as data collection module, data filtration module and finally analysis module. It has the capability of equally distributing the load, filtering and parallel data execution. Hadoop is used for processing the remotely collected data. Hadoop is used to implement the algorithms using Map Reduce.

Keywords: Big Data, Map Reduce, Hadoop

DOI: https://doi.org/10.15623/ijret.2016.0516021