Desk.com to Yellowfin Integration
AI-first ETL from Desk.com into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Desk.com into Yellowfin
Datrise syncs Desk.com's cases, customers, interactions, agents, labels, and replies 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
Desk.com: Customer support ticketing and case history.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Desk.com entities map to Yellowfin
| Desk.com entity | Yellowfin object | Notes |
|---|---|---|
| cases | desk_com_cases | id PK · custom fields → flattened columns |
| customers | desk_com_customers | id PK · linked to desk_com_cases |
| interactions | desk_com_interactions | id PK · linked to desk_com_cases |
| agents | desk_com_agents | id PK · linked to desk_com_cases |
FAQ
How does Datrise handle Desk.com'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 Desk.com 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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