DatriseAI-first ETL

Urban Airship to MicroStrategy Integration

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

How Datrise loads Urban Airship into MicroStrategy

Datrise syncs Urban Airship's push notifications, channels, audiences, message events, segments, and named users 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

Urban Airship: Mobile push and cross-channel message orchestration.

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

How Urban Airship entities map to MicroStrategy

Urban Airship entityMicroStrategy objectNotes
push notificationsurban_airship_push_notificationsid PK · custom fields → flattened columns
channelsurban_airship_channelsid PK · linked to urban_airship_push_notifications
audiencesurban_airship_audiencesid PK · linked to urban_airship_push_notifications
message eventsurban_airship_message_eventsdate/time dimensions events

FAQ

How does Datrise handle Urban Airship'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 Urban Airship to MicroStrategy sync stay up to date?

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

Related pipelines

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