DatriseAI-first ETL

Salesforce Marketing Cloud Tableau

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

How Datrise loads Salesforce Marketing Cloud into Tableau

Datrise syncs Salesforce Marketing Cloud'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

Salesforce Marketing Cloud: SaaS or API data source for analytics and warehouse sync.

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

How Salesforce Marketing Cloud entities map to Tableau

Salesforce Marketing Cloud entityTableau objectNotes
recordssalesforce_marketing_cloud_recordsid PK · custom fields → flattened columns for Tableau fields
eventssalesforce_marketing_cloud_eventsdate/datetime fields events
configuration objectssalesforce_marketing_cloud_configuration_objectsid PK · linked to salesforce_marketing_cloud_records

FAQ

How does Datrise handle Salesforce Marketing Cloud'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 Salesforce Marketing Cloud 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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