Abstract
Data is the most significant element for any organization in today’s cut-throat competition, which is growing tremendously large and exchanged over the Internet due to the development of numerous digital devices. Commercial firms are focusing on predicting responses in advance before actually spending valuable resources. Nowadays most of the companies are moving from traditional static data analytics to real-time streaming data analytics to renovate the predictive model to be adaptable with currently available data which changes over time. Although building a predictive model for the real-time streaming data is an immense challenge, it is a current area of Research and Development which gained much attention from the Academia, IT Industries, and Researchers. In this survey paper, we have instigated with discussing some of the open research issues of streaming data and then we deliberate several classification algorithms proposed by various researchers by analyzing it’s merits and limitations. Besides, we studied the evaluation metrics used by the researchers for the purpose of measuring the existing algorithms. Finally, we surveyed the platforms used by the researchers to handle streaming data and summarized a comparative study of streaming data platforms.
