Real-Time Big Data Analytical Architecture for Remote Sensing Application

Real-Time Big Data Analytical Architecture for Remote Sensing Application

Abstract—: The assets of remote senses digital world daily generate massive volume of real-time data < Final Year Projects 2016 > 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 computational challenges, such as to analyze, 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 realtime, as well as offline data processing. Therefore, in this paper, we propose real-time Big Data analytical architecture for remote sensing satellite application.