Okta to Yellowfin Integration
AI-first ETL from Okta into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Okta into Yellowfin
Datrise syncs Okta's users, groups, applications, system log events, factors, and group memberships 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
Okta: Identity provider for SSO and user lifecycle.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Okta entities map to Yellowfin
| Okta entity | Yellowfin object | Notes |
|---|---|---|
| users | okta_users | id PK · custom fields → flattened columns |
| groups | okta_groups | id PK · linked to okta_users |
| applications | okta_applications | id PK · linked to okta_users |
| system log events | okta_system_log_events | date/time dimensions events |
FAQ
How does Datrise handle Okta'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 Okta to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Okta
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