Google Analytics 360 → Azure Synapse

AI-first ETL from Google Analytics 360 into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Google Analytics 360 into Azure Synapse

Datrise syncs Google Analytics 360'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

Google Analytics 360: SaaS or API data source for analytics and warehouse sync.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Google Analytics 360 entities map to Azure Synapse

Google Analytics 360 entity	Azure Synapse object	Notes
records	`google_analytics_360_records`	id PK · custom fields → NVARCHAR(MAX) JSON columns
events	`google_analytics_360_events`	datetime2 events
configuration objects	`google_analytics_360_configuration_objects`	id PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360'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 Google Analytics 360 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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