👉 Stream computing is a paradigm that focuses on processing data as it flows through a network, rather than storing it in a centralized location. This approach is particularly useful for handling large volumes of real-time data generated by various sources such as sensors, social media feeds, and IoT devices. Stream computing systems continuously ingest, process, and analyze data in small, manageable chunks, enabling immediate insights and actions. This contrasts with traditional batch processing, where data is collected over time and processed in large batches. Stream computing is crucial for applications requiring low latency, such as real-time analytics, fraud detection, and recommendation systems, and it leverages distributed computing frameworks to efficiently manage and process continuous data streams.
