DatriseAI-first ETL

Zoom Tableau

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

How Datrise loads Zoom into Tableau

Datrise syncs Zoom's meetings, participants, webinars, recordings, and usage reports 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

Zoom: Video meetings, webinars, and workplace collaboration.

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

How Zoom entities map to Tableau

Zoom entityTableau objectNotes
meetingszoom_meetingsid PK · custom fields → flattened columns for Tableau fields
participantszoom_participantsid PK · linked to zoom_meetings
webinarszoom_webinarsid PK · linked to zoom_meetings
recordingszoom_recordingsid PK · linked to zoom_meetings

FAQ

How does Datrise handle Zoom'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 Zoom 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

Early access

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