Data Stream Processing

Data stream processing involves continuously analyzing real-time data as it is generated, rather than waiting for all data to be collected. It enables organizations to instantly interpret information from sources like sensors, social media, or financial transactions, allowing for immediate insights and actions. Think of it like a live TV broadcast—information flows in a steady stream, and processing systems monitor, filter, and analyze this stream instantly to detect patterns, anomalies, or trends, supporting quick decision-making and responsiveness.