DatriseAI-first ETL

Urban Airship to GoodData Integration

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

How Datrise loads Urban Airship into GoodData

Datrise syncs Urban Airship's push notifications, channels, audiences, message events, segments, and named users into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

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

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Urban Airship entities map to GoodData

Urban Airship entityGoodData 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 dimensions events

FAQ

How does Datrise handle Urban Airship's custom fields in GoodData?

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 GoodData types.

How does the Urban Airship to GoodData sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Urban Airship to GoodData the easy way

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