Processing of Real Time Big Data for Machine Learning

Abstract: Assets of real time digital world daily generate massive volume of real-time data (mainly referred to the term �Big Data�), where insight information has a potential significance if collected and aggregated effectively. In today�s era, there is a great deal added to real-time remote sensing Big Data than it seems at first, and extracting the useful information in an efficient manner leads a system toward a major The computational challenges, such as to analyse, aggregate, and store, where data are remotely collected. Keeping in view the above mentioned factors, there is a need for designing a system architecture that welcomes both real time, as well as offline data processing. Therefore, in this paper, we propose real-time Big Data analytical architecture for processing such data environment.

Keywords: Big Data, Hadoop, HDFS, Cloud Computing, data analysis.