A General Framework for Streaming Data Analytics
Real time applications encompasses with streaming data which comes in huge volume and at high speed. In recent years, data has become one of the most important features of any organization for its progression. Most of the organizations are turning into accomplishing real time data analytics to get the speedy outcome using existing digital data generated every day. But building a predictive model for any real time data is a more challenging one which attracts the attention of most of the Researchers, Academicians and Industrial Persons. The objective of this study is to design a common framework to show various pathways in handling streaming data which can be used to identify the challenges and solving techniques by the streaming research community. This general framework illustrates several existing streaming data attaining sources, challenges and classification algorithms in handling streaming data. It also comprises some of the available platforms, performance metrics and applications using streaming data.