How banks migrate from batch processing to event streaming architecture

Event-driven architecture (EDA), data streaming, and Kafka-like systems improve scalability, reliability, and responsiveness of applications. Compared to synchronous or batch-based integrations, event-driven architecture reduces downtime, operational overhead, and the impact of system outages. For banking institutions, event streaming supports: Continuous processing instead of scheduled batch windows Independent communication between systems Persistent and retryable interactions Scalable dashboards and data processing Faster response to changing conditions

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"By having access to this real-time data, Eneco can use its data flexibly to help the organization and its customers even better."

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