Raw Data Streaming
Raw Data Streaming is a data processing paradigm where data is continuously generated, transmitted, and processed in real-time or near-real-time as it flows from sources like sensors, logs, or applications. It involves handling unbounded sequences of data records (often called events or messages) without intermediate storage, enabling immediate insights and actions. This contrasts with batch processing, where data is collected and processed in large, discrete chunks at scheduled intervals.
Developers should learn Raw Data Streaming for scenarios requiring low-latency data handling, such as real-time analytics, fraud detection, IoT sensor monitoring, and live dashboards. It's essential for building responsive applications that react to events as they happen, like stock trading platforms or social media feeds, and for processing high-volume data streams efficiently without overwhelming storage systems.