BoomTown to Yellowfin Integration
AI-first ETL from BoomTown into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads BoomTown into Yellowfin
Datrise syncs BoomTown's leads, contacts, listings, opportunities, property alerts, and agent interactions 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
BoomTown: Real estate lead generation with predictive agent alerts.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How BoomTown entities map to Yellowfin
| BoomTown entity | Yellowfin object | Notes |
|---|---|---|
| leads | boomtown_leads | id PK · custom fields → flattened columns |
| contacts | boomtown_contacts | id PK · linked to boomtown_leads |
| listings | boomtown_listings | id PK · linked to boomtown_leads |
| opportunities | boomtown_opportunities | id PK · linked to boomtown_leads |
FAQ
How does Datrise handle BoomTown'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 BoomTown to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for BoomTown
Early access
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