DatriseAI-first ETL

Urban Airship Azure Synapse

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

How Datrise loads Urban Airship into Azure Synapse

Datrise syncs Urban Airship's records, events, and configuration objects into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

Urban Airship: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Urban Airship entities map to Azure Synapse

Urban Airship entityAzure Synapse objectNotes
recordsurban_airship_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsurban_airship_eventsdatetime2 events
configuration objectsurban_airship_configuration_objectsid PK · linked to urban_airship_records

FAQ

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

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Urban Airship to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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