DatriseAI-first ETL

Google Analytics Azure Synapse

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

How Datrise loads Google Analytics into Azure Synapse

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts 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: Web and product analytics for behavior and traffic insights.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Google Analytics entities map to Azure Synapse

Google Analytics entityAzure Synapse objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsgoogle_analytics_eventsdatetime2 events
channelsgoogle_analytics_channelsid PK · linked to google_analytics_sessions
conversionsgoogle_analytics_conversionsid PK · linked to google_analytics_sessions

FAQ

How does Datrise handle Google Analytics'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 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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