A beginner-friendly guide to adding your first Apache Flink streaming transformation on top of an existing Kafka setup. Covers the core concept of streaming vs. batch processing, common first transformation patterns (filter, project, enrich, aggregate), stateless vs. stateful tradeoffs, five common pitfalls to avoid, and a 'Migration Lite' incremental adoption strategy that lets teams introduce Flink without rewriting existing producers or consumers.
Table of contents
Why Add a Streaming Transformation?Step-by-Step: Add Your First Flink Streaming TransformationCommon First Streaming TransformationsStateful vs Stateless TransformationsDesign Tradeoffs to ConsiderWhat NOT to Do in Your First TransformationHow This Fits Into a Migration Lite StrategyFAQsSort: