DatriseAI-first ETL

Branch to Tableau Integration

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

How Datrise loads Branch into Tableau

Datrise syncs Branch's links, clicks, installs, events, attribution touchpoints, and campaigns 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

Branch: Deep linking and mobile attribution.

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

How Branch entities map to Tableau

Branch entityTableau objectNotes
linksbranch_linksid PK · custom fields → flattened columns for Tableau fields
clicksbranch_clicksid PK · linked to branch_links
installsbranch_installsid PK · linked to branch_links
eventsbranch_eventsdate/datetime fields events

FAQ

How does Datrise handle Branch'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 Branch 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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