Asana → Yellowfin
AI-first ETL from Asana into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Asana into Yellowfin
Datrise syncs Asana's projects, tasks, sections, custom fields, and assignment timelines into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.
Ideal for dashboards with automated data storytelling.
Endpoints
Asana: Work management for projects, tasks, and cross-team delivery.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Asana entities map to Yellowfin
| Asana entity | Yellowfin object | Notes |
|---|---|---|
| projects | asana_projects | id PK · custom fields → flattened columns |
| tasks | asana_tasks | id PK · linked to asana_projects |
| sections | asana_sections | id PK · linked to asana_projects |
| custom fields | asana_custom_fields | id PK · linked to asana_projects |
FAQ
How does Datrise handle Asana's custom fields in Yellowfin?
Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.
How does the Asana to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Asana
Early access
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