Auth0 → Yellowfin
AI-first ETL from Auth0 into Yellowfin. Governed entities, incremental sync, typed landing tables.
How Datrise loads Auth0 into Yellowfin
Datrise syncs Auth0's authentication logs, sign-ins, user identity changes, and security events 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
Auth0: Identity source for authentication and sign-in telemetry.
Yellowfin: BI suite with dashboards, automated insights, and data storytelling.
How Auth0 entities map to Yellowfin
| Auth0 entity | Yellowfin object | Notes |
|---|---|---|
| authentication logs | auth0_authentication_logs | id PK · custom fields → flattened columns |
| sign-ins | auth0_sign_ins | id PK · linked to auth0_authentication_logs |
| user identity changes | auth0_user_identity_changes | date/time dimensions events |
| security events | auth0_security_events | date/time dimensions events |
FAQ
How does Datrise handle Auth0'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 Auth0 to Yellowfin sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Auth0
Early access
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