Flink Watermarks Are a Hidden Hyperparameter in Real-Time ML
TL;DR — A watermark in a Kafka and Flink pipeline decides how much of the world a real-time feature has seen when the model reads it. Training on a batch replay sees a more complete world than production did, which creates a directional, systematic skew. Treat lateness policy as a versioned model p…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-11-10 14:15 · DEV Community — Machine Learning
Flink Watermarks Are a Hidden Hyperparameter in Real-Time ML