Event Streaming
Event streaming is a data processing paradigm that involves continuously capturing and processing streams of events (real-time data records) from various sources, such as applications, sensors, or devices. It enables the real-time ingestion, storage, and analysis of data as it occurs, allowing systems to react immediately to changes or triggers. This approach is fundamental for building scalable, responsive applications in domains like IoT, financial trading, and user activity monitoring.
Developers should learn event streaming when building systems that require real-time data processing, low-latency responses, or handling high-volume data streams, such as in fraud detection, live analytics, or microservices communication. It is particularly useful for decoupling components in distributed architectures, enabling asynchronous communication and improving scalability by processing events as they arrive rather than in batches.