Data Stream Management

Data Stream Management refers to the process of handling and analyzing continuous streams of data in real-time. Instead of dealing with static datasets, it focuses on data that flows in constantly, like social media updates or sensor readings. This involves collecting, processing, and making sense of the data as it arrives, allowing for immediate insights and actions. For example, businesses can monitor customer behavior online instantly, or systems can detect anomalies in machinery in real time to prevent failures. Its applications span various fields, enhancing decision-making and operational efficiency.