DatriseAI-first ETL

Vantage Tableau

AI-first ETL from Vantage into Tableau. Governed entities, incremental sync, typed landing tables.

How Datrise loads Vantage into Tableau

Datrise syncs Vantage's records, events, and configuration objects into Tableau as warehouse tables or a refreshed .hyper extract. Flexible or custom fields land in flattened columns for Tableau fields, and timestamps such as created, updated, and status changes are typed as date/datetime fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind a live connection or extract, so re-runs update only what changed. Date-partitioned facts to keep extract refresh quick. Tableau .hyper extracts snapshot data, so Datrise keeps the source tables incremental and lets you choose live vs extract.

Ideal for visual analytics and dashboards in Tableau.

Endpoints

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

Tableau: Salesforce analytics platform for interactive dashboards and visual exploration.

How Vantage entities map to Tableau

Vantage entityTableau objectNotes
recordsvantage_recordsid PK · custom fields → flattened columns for Tableau fields
eventsvantage_eventsdate/datetime fields events
configuration objectsvantage_configuration_objectsid PK · linked to vantage_records

FAQ

How does Datrise handle Vantage's custom fields in Tableau?

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

How does the Vantage to Tableau sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind a live connection or extract.

Related pipelines

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