DatriseAI-first ETL

Okta to Holistics Integration

AI-first ETL from Okta into Holistics. Governed entities, incremental sync, typed landing tables.

How Datrise loads Okta into Holistics

Datrise syncs Okta's users, groups, applications, system log events, factors, and group memberships into Holistics as warehouse tables modeled in Holistics. Flexible or custom fields land in flattened columns for the modeling layer, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the modeled tables, so re-runs update only what changed. Date-partitioned facts for fast aggregates. Holistics models data as code on top of SQL, so Datrise lands stable column names to keep your models from drifting.

Ideal for as-code BI modeling on a warehouse.

Endpoints

Okta: Identity provider for SSO and user lifecycle.

Holistics: Self-service BI with modeling layers and scheduled report delivery.

How Okta entities map to Holistics

Okta entityHolistics objectNotes
usersokta_usersid PK · custom fields → flattened columns for the modeling layer
groupsokta_groupsid PK · linked to okta_users
applicationsokta_applicationsid PK · linked to okta_users
system log eventsokta_system_log_eventsdate/time dimensions events

FAQ

How does Datrise handle Okta's custom fields in Holistics?

Flexible values are stored as flattened columns for the modeling layer, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Holistics types.

How does the Okta to Holistics sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the modeled tables.

Related pipelines

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