DFS Workflows
Use workflow guides when a DFS rollout spans multiple product areas or teams. A workflow page shows the sequence from source connection to governed output, including when to use DFS Lite, when to promote data into DFS Pro, and where reviewer decisions are required.
Available workflows
| Workflow | Use when |
|---|---|
| Lite to Pro Operational Pipeline | A connector feed needs to become a governed data asset for Inspector, FactVerse AI Agent, BI, predictive maintenance, or other repeatable operational workflows. |
Workflow checkpoints
Before using a DFS workflow in regular operations, confirm:
- the source is reachable and ownership is clear;
- mappings use stable target identities;
- sync history and data quality are reviewed;
- governance ownership is assigned where reusable datasets are created;
- uncertain rows, conflicts, and rejected rows have a review path;
- the consuming FactVerse workflow has acceptance criteria and handover records.
Related pages
| Page | Use |
|---|---|
| Getting Started with DFS | Verify a small connector-to-quality loop before running a broader workflow. |
| DFS Lite | Connect source systems and map source data. |
| DFS Pro | Govern datasets, fusion tasks, review queues, pipelines, and BI outputs. |
| DFS Recipes | Follow task-oriented examples for common operating scenarios. |