Abstract
Research in big data becomes pioneer in the field of information system. Data stream is well-studied problem in traditional data mining environment, but still needs exploration while dealing with big data. This paper mainly reviewed different research activities, scientific practice, and methods which have been developed for stream big data. In addition, examine well-known real-time platforms which are evolving to handle streaming problem and having existing similarity in terms of usage of main memory and distributed computing technologies for non-real-time data. Finally, summarize open issues and challenges faced by current technologies while acquisition and processing of big data in real time.
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