Real-Time Big Data Analytics for Data Stream Challenges: An Overview

The conventional approach of evaluating massive data is inappropriate for real-time analysis; therefore, analysing big in a stream remains critical issue numerous applications. It analytics to process at the point where they are arriving quick reaction and good decision making, necessitating development novel architecture that allows processing high speed low latency. Processing anlayzing variety applications; however, handling large amount from sources, such as sensor networks, web traffic, social media, video streams, other considerable difficulty. main goal this paper give an overview current real time analytics, methods available, including their system architectures Lambda, kappa, delta processing.