DatriseAI-first ETL

Zendesk Sunshine to Tableau Integration

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

How Datrise loads Zendesk Sunshine into Tableau

Datrise syncs Zendesk Sunshine's custom objects, object records, profiles, events, relationships, and attributes 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

Zendesk Sunshine: Custom objects and unified customer profiles.

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

How Zendesk Sunshine entities map to Tableau

Zendesk Sunshine entityTableau objectNotes
custom objectszendesk_sunshine_custom_objectsid PK · custom fields → flattened columns for Tableau fields
object recordszendesk_sunshine_object_recordsid PK · linked to zendesk_sunshine_custom_objects
profileszendesk_sunshine_profilesid PK · linked to zendesk_sunshine_custom_objects
eventszendesk_sunshine_eventsdate/datetime fields events

FAQ

How does Datrise handle Zendesk Sunshine'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 Zendesk Sunshine 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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