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Big data streaming is a process in which big data is quickly processed in order to extract real-time insights from it. The data on which processing is done is the data in motion. Big data streaming is ideally a speed-focused approach wherein a continuous stream of data is processed.
Big data streaming is a process in which large streams of real-time data are processed with the sole aim of extracting insights and useful trends out of it. A continuous stream of unstructured data is sent for analysis into memory before storing it onto disk. This happens across a cluster of servers. Speed matters the most in big data streaming. The value of data, if not processed quickly, decreases with time.
Real-time streaming data analysis is a single-pass analysis. Analysts cannot choose to reanalyze the data once it is streamed.