Concepts

Explanatory pages that cover the architecture, Snowflake ML lifecycle, and design decisions behind this reference repository.

These pages explain why the repository is structured the way it is. For step-by-step instructions, see the Tutorials.

Concept	What it explains
Repo Layers & Ownership	Hub-spoke architecture, component boundaries, and ownership rules.
Snowflake ML Lifecycle	The end-to-end ML lifecycle on Snowflake: features, training, inference, evaluation, retraining.
Feature Store	Entities, feature views, point-in-time correctness, versioning, and namespacing.
Model Registry & Training Artifacts	Model registration, versioning, metrics, and artifact management.
Task Graphs & Orchestration	Snowflake task graphs, DAG structure, scheduling, and the deploy-vs-run pattern.
Environments & Promotion	Environment topology, schema layout, configuration overlays, and promotion mechanics.