Event Processing
Event processing is a computing paradigm that involves capturing, analyzing, and responding to events—discrete occurrences or changes in state—in real-time or near-real-time. It enables systems to react to data streams from various sources, such as IoT devices, user interactions, or system logs, by applying rules, patterns, or transformations. This approach is fundamental for building responsive, scalable applications in domains like finance, telecommunications, and e-commerce.
Developers should learn event processing to handle high-volume, time-sensitive data streams efficiently, such as in fraud detection, real-time analytics, or monitoring systems. It's essential for applications requiring low-latency responses, decoupled architectures, or integration of disparate data sources, as it supports event-driven design patterns that improve scalability and resilience.