Zendesk → Yellowfin
AI-first ETL from Zendesk into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Zendesk into Yellowfin
Datrise syncs Zendesk's tickets, users, organizations, macros, and satisfaction ratings 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
Zendesk: Customer support suite with tickets and knowledge base.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Zendesk entities map to Yellowfin
| Zendesk entity | Yellowfin object | Notes |
|---|---|---|
| tickets | zendesk_tickets | id PK · custom fields → flattened columns |
| users | zendesk_users | id PK · linked to zendesk_tickets |
| organizations | zendesk_organizations | id PK · linked to zendesk_tickets |
| macros | zendesk_macros | id PK · linked to zendesk_tickets |
FAQ
How does Datrise handle Zendesk'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 Zendesk 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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