Distributed stream processing is a computational paradigm that involves processing data streams in a distributed manner, allowing for the handling of high volumes of real-time data that are continuously generated. This approach is essential for applications that require immediate insights from incoming data, such as real-time analytics, event monitoring, and responsive systems.
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