A Survey on Real-Time Big Data Analytics: Applications and Tools

Large and complex amounts of data are being generated where traditional data processing applications are inadequate to deal with them. On the other hand, there is a growing need for extracting information from operational data in real time, which is crucial in fast changing situation. The faster one can harness insights from data, the greater the benefit in driving value, taking, reducing costs, and increasing efficiency. This paper surveys different approaches in real-time analytics of Big Data or near real-time in the specific fields of application, as well as tools and techniques being used. The survey results indicate what technologies have been used in each of the fields of application and what the reason for the choice was.