Data Engineering to ML Lifecycle¶
Pipeline output delivery from data engineering to ML lifecycle for feature engineering
| Attribute | Value |
|---|---|
| Type | Handoff |
| Source Phase | Ops |
| Target Phase | Find |
| Example Personas | POR, ENA, FAR |
Example Personas¶
- POR — Pipeline Orchestrator (The Flow Director)
- ENA — EDA Navigator (The Data Explorer)
- FAR — Feature Architect (The Feature Engineer)
Workflow Steps¶
1. Data Contract¶
Implementation guidance for the data contract step of this pattern.
2. Schema Validation¶
Implementation guidance for the schema validation step of this pattern.
3. Quality Certification¶
Implementation guidance for the quality certification step of this pattern.
4. Feature Store Handoff¶
Implementation guidance for the feature store handoff step of this pattern.
When to Use This Pattern¶
Use this pattern when: - The workflow transitions from Ops to Find - The involved personas include: POR, ENA, FAR
Related Patterns¶
See the Collaboration Pattern Library for complementary patterns.