Learning Path

Building a Complete Real-Time Data Processing System

Streaming Fundamentals → Monitoring and Observability

9 Knowledge Nodes · 9 Learning Steps · v0 Active

This advanced learning path equips data engineers with the knowledge to design and implement a complete real-time data processing system. It covers foundational streaming concepts, Kafka ingestion, stream processing with Kafka Streams and Flink, real-time storage, API serving, and critical operational aspects like fault tolerance, scalability, and monitoring.

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Learning Route

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

Phase 1

Foundation

3 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps