DatriseAI-first ETL

Housecall Pro Yellowfin

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

How Datrise loads Housecall Pro into Yellowfin

Datrise syncs Housecall Pro's contacts, accounts, deals, activities, and lifecycle 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

Housecall Pro: Field service CRM for scheduling, jobs, and customer history.

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

How Housecall Pro entities map to Yellowfin

Housecall Pro entityYellowfin objectNotes
contactshousecall_pro_contactsid PK · custom fields → flattened columns
accountshousecall_pro_accountsid PK · linked to housecall_pro_contacts
dealshousecall_pro_dealsid PK · linked to housecall_pro_contacts
activitieshousecall_pro_activitiesdate/time dimensions events

FAQ

How does Datrise handle Housecall Pro'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 Housecall Pro 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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