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Real-time data streaming is the process by which big volumes of data are processed quickly such that a firm extracting the info from that data can react to changing conditions in real time. Large chunks of data are stream processed to enable the organizations to react to any fraudulent activity and potential threats, as well as to boost business benefits.
Real-time data streaming works by making use of continuous queries that work on time and buffer windows. This whole process is opposite to the traditional database model where data was first stored and indexed and was then processed. Real-time data streaming makes use of data while in motion through the server.
Real-time data streaming finds various applications. The major ones include: