Learning Path

Distributed Stream Processing with Apache Flink and Kafka Streams

Stream Processing Fundamentals → Capstone: Building a Stream Processing Application

12 Knowledge Nodes · 12 Learning Steps · v0 Active

This path equips data engineers with the knowledge and skills to design and build distributed stream processing applications. It covers core stream processing concepts, distributed systems fundamentals, and hands-on experience with Apache Flink and Kafka Streams for stateful, event-time-based processing.

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12 nodes16 edges2 relationships

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Learning Route

12 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps