Data Stream Processing
Data Stream Processing is a method of analyzing and performing operations on real-time data as it is generated, without storing the data in a database. It involves processing continuous streams of data from various sources, such as sensors, social media, and financial transactions, and extracting meaningful insights from them. Data Stream Processing is used in various applications, such as fraud detection, network monitoring, and predictive maintenance. It requires specialized tools and techniques, such as stream processing engines, complex event processing, and real-time analytics.
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