ML Pipeline Architecture
Flowchart of an end-to-end ML pipeline showing data sources flowing into a raw data lake, ingestion, and a feature store, then training to a model registry and serving API for apps and users, with monitoring and drift feedback loops.
ml pipelinefeature storemodel servingtrainingmodel registrymonitoring
9 nodes
11 connections