DatriseAI-first ETL

Google Analytics 360 Snowflake

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

How Datrise loads Google Analytics 360 into Snowflake

Datrise syncs Google Analytics 360's records, events, and configuration objects into Snowflake as a typed table per source entity. Flexible or custom fields land in VARIANT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP_TZ.

Sync is incremental: Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size, so re-runs update only what changed. Automatic micro-partitioning, with optional clustering keys on high-cardinality ids. Snowflake upper-cases unquoted identifiers, so Datrise standardizes on lower-case quoted names to keep column references stable.

Ideal for central analytics warehouses feeding BI and AI workloads.

Endpoints

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

Snowflake: Cloud data warehouse with separated compute and storage.

How Google Analytics 360 entities map to Snowflake

Google Analytics 360 entitySnowflake objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → VARIANT columns
eventsgoogle_analytics_360_eventsTIMESTAMP_TZ events
configuration objectsgoogle_analytics_360_configuration_objectsid PK · linked to google_analytics_360_records

FAQ

How does Datrise handle Google Analytics 360's custom fields in Snowflake?

Flexible values are stored as VARIANT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Snowflake types.

How does the Google Analytics 360 to Snowflake sync stay up to date?

It runs incrementally — Datrise uses staged loads merged on stable id with MERGE, so credits scale with change volume, not table size.

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