DatriseAI-first ETL

Customerio Yellowfin

AI-first ETL from Customerio into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Customerio into Yellowfin

Datrise syncs Customerio's records, events, and configuration objects 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

Customerio: SaaS or API data source for analytics and warehouse sync.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Customerio entities map to Yellowfin

Customerio entityYellowfin objectNotes
recordscustomerio_recordsid PK · custom fields → flattened columns
eventscustomerio_eventsdate/time dimensions events
configuration objectscustomerio_configuration_objectsid PK · linked to customerio_records

FAQ

How does Datrise handle Customerio'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 Customerio to Yellowfin sync stay up to date?

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

Related pipelines

Early access

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