Real-time Streaming
Real-time streaming is a data processing paradigm where data is continuously generated, transmitted, and processed as it arrives, enabling immediate insights and actions with minimal latency. It involves technologies and architectures designed to handle high-velocity, unbounded data streams from sources like sensors, logs, or user interactions. This contrasts with batch processing, where data is collected and processed in large, periodic chunks.
Developers should learn real-time streaming for applications requiring instant data processing, such as fraud detection, live analytics, IoT monitoring, and real-time recommendations. It's essential in modern data pipelines where low-latency responses are critical, like financial trading systems, social media feeds, or monitoring dashboards that need up-to-the-second updates.