O cenário
A data platform team needs a relational schema to track ML experiments, training runs, metrics, datasets, model versions and monitoring alerts.
O que há neste desenho
Entenda as decisões por trás dele.
01
Separate Run and ModelVersion to link training runs to registered model artifacts
02
Use a RunDataset join table to model many-to-many dataset usage across runs
03
Attach alerts to model versions for metric-threshold monitoring
Reusable for ML experiment tracking, model registry backends, and model monitoring dashboards.