DatriseAI-first ETL

Zoom MicroStrategy

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

How Datrise loads Zoom into MicroStrategy

Datrise syncs Zoom's meetings, participants, webinars, recordings, and usage reports into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

Zoom: Video meetings, webinars, and workplace collaboration.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How Zoom entities map to MicroStrategy

Zoom entityMicroStrategy objectNotes
meetingszoom_meetingsid PK · custom fields → flattened columns
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 MicroStrategy?

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

How does the Zoom to MicroStrategy sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

Early access

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