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Elemental Approach for High Performance Real Time Streaming Analytics Platform

File Size:
1.01 MB
Volume:
Volume 3, Issue 6 (June, 2017)
Publication No:
IJTC201706006
Author:
Dilraj Bhullar, Nitin Verma
Downloads:
7 x

Abstract:
The growth of the Internet of Things (IoT) and the exponential growth of potentially valuable, fast moving, real-time data is now a well-documented fact. The continuous stream of data generated by sensors, machines, vehicles, mobile phones, social media networks, and other real-time sources are FORCING organizations to imagine what they could do with this data if they could gain insight into it. As the speed of business increases, and more information about what people are doing, thinking, feeling, saying, and buying becomes available in real-time, applications that can produce actionable insights are becoming the new imperative for organizations to keep pace. The question is no longer if an organization needs to use this data but rather how quickly can one begin to capitalize on the insights that are potentially available. This paper emphasises on some of the best necessity features in a Real-Time Streaming Application (RTSA) platform in order to help the end user to select a framework or platform that fulfils certain requirements of the organizations.

Keywords:
Streaming analytics, streaming platforms