Blueprints for common stream processing use cases with Flink

on YouTube ↗31m

" summary

Covers practical application blueprints for stateful, event-time-aware stream processing using Apache Flink, including operational considerations. Presents a brief recap of modern stream-processing concepts and challenges (state, event time, late data), then shows concrete archetypes: aggregating IoT event data with event-time handling and late-data strategies; enriching real-time event streams from slowly-changing databases; and dynamic stream processing driven by control messages and evolving user logic for alerting and fraud detection.

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" chapters (6)

1. 0:00Start
2. 3:44Detour: Thinking in Flows
3. 4:36Why flows and operations? . This is how the physical world works
4. 7:18Apache Flink distributed stateful stream proci
5. 13:24Blueprint: Enriching data with "side input"
6. 19:22Blueprint: Dynamic processing

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