DatriseAI-first ETL

Pardot Yellowfin

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

How Datrise loads Pardot into Yellowfin

Datrise syncs Pardot's prospects, campaigns, emails, forms, and engagement grades 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

Pardot: B2B marketing automation on the Salesforce platform.

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

How Pardot entities map to Yellowfin

Pardot entityYellowfin objectNotes
prospectspardot_prospectsid PK · custom fields → flattened columns
campaignspardot_campaignsid PK · linked to pardot_prospects
emailspardot_emailsid PK · linked to pardot_prospects
formspardot_formsid PK · linked to pardot_prospects

FAQ

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

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

Related pipelines

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