Stream Processing Fundamentals — Streaming & Real-Time Data Engineeri…
Transforming data as it flows
Steps in Stream Processing Fundamentals
- Stream Processing Fundamentals — beginner · Transforming and aggregating data as it flows, rather than after landing
- Stateless vs Stateful Stream Processing — beginner · The added complexity that state brings to stream processing
- Stream Processing Frameworks Compared — beginner · Kafka Streams, Flink and Spark Structured Streaming compared
- Kafka Streams Fundamentals — beginner · A lightweight library for stream processing directly on Kafka
- ksqlDB for SQL-Based Stream Processing — beginner · Writing stream processing logic in SQL instead of code
- Choosing a Stream Processing Framework — beginner · Matching framework choice to team skills and latency requirements
Part of
- Streaming & Real-Time Data Engineering roadmap — the full learning path