DatriseAI-first ETL

Microsoft Azure to Azure Synapse Integration

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

How Datrise loads Microsoft Azure into Azure Synapse

Datrise syncs Microsoft Azure's subscriptions, resource groups, resources, usage records, costs, and activity logs 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

Microsoft Azure: Azure subscription resources, usage, and billing.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Microsoft Azure entities map to Azure Synapse

Microsoft Azure entityAzure Synapse objectNotes
subscriptionsmicrosoft_azure_subscriptionsid PK · custom fields → NVARCHAR(MAX) JSON columns
resource groupsmicrosoft_azure_resource_groupsid PK · linked to microsoft_azure_subscriptions
resourcesmicrosoft_azure_resourcesid PK · linked to microsoft_azure_subscriptions
usage recordsmicrosoft_azure_usage_recordsid PK · linked to microsoft_azure_subscriptions

FAQ

How does Datrise handle Microsoft Azure'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 Microsoft Azure 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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