Building Event-Driven Data Pipelines in GCP

Source: DZone DevOps

The old-fashioned batch processing is not applicable in current applications. Pipelines need to respond to events in real time when businesses rely on real-time data to track user behavior, process financial transactions, or monitor Internet of Things (IoT) devices, instead of hours after the event.

Why Event-Driven Architecture Matters

Event-driven processing versus batch processing is a paradigm shift in the flow of data through systems. With batch pipelines, data is idle until it is run. In event pipelines, each change is followed by an immediate response. This difference is crucial in the development of fraud detection systems that demand sub‑second response times or in systems that offer recommendations that are updated in real time according to who is currently using them.