Apache Flink

Apache Flink is a powerful stream processing framework. Unlike batch processors that "fake" streaming with micro-batches, Flink is a true streaming engine—it processes every event the moment it arrives. It excels at "stateful" processing, remembering information from previous events to detect patterns over time.

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Why use it in EDA? EDA isn't just about moving data; it's about reacting to it. Flink is the brain that reacts. It is used for Complex Event Processing (CEP), real-time fraud detection, and instant personalization. It handles out-of-order data and "late" events gracefully.

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How do we use it?

• Fraud Detection: Analyzing transaction streams to block suspicious activity instantly.
• Real-time Metrics: Aggregating millions of interactions into live dashboards.‍
• Event-Driven Apps: Triggering complex workflows based on patterns of events.