Implement real-time event processing system using Kafka Streams or Flink.
Tools & Technologies
Stream ProcessingKafkaFlinkReal-TimeEvent Processing
Objective
Build real-time event processing pipeline for streaming data.
Requirements
- Deploy streaming platform
- Implement event producers
- Build processing topology
- Handle state management
- Implement exactly-once semantics
- Monitor stream health
Tips
Design for idempotency. Handle late events. Manage state size. Monitor consumer lag. Plan for replay scenarios.
Solution
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Difficulty & Effort Breakdown
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Advanced(Expert-Level)
110 min
Est. Time
6
Requirements
5
Technologies
Stream Processing
Category
Prerequisite Knowledge
This is an advanced task. You should have solid experience with Data Engineering, understand production-level patterns, and have completed intermediate tasks in Stream Processing.
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