Mindbody to Yellowfin Integration
AI-first ETL from Mindbody into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Mindbody into Yellowfin
Datrise syncs Mindbody's clients, class bookings, memberships, staff, sales, and appointments 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
Mindbody: Booking and membership platform for wellness studios.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Mindbody entities map to Yellowfin
| Mindbody entity | Yellowfin object | Notes |
|---|---|---|
| clients | mindbody_clients | id PK · custom fields → flattened columns |
| class bookings | mindbody_class_bookings | id PK · linked to mindbody_clients |
| memberships | mindbody_memberships | id PK · linked to mindbody_clients |
| staff | mindbody_staff | id PK · linked to mindbody_clients |
FAQ
How does Datrise handle Mindbody'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 Mindbody to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
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Early access
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