DatriseAI-first ETL

Google Analytics 360 CSV Files

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

How Datrise loads Google Analytics 360 into CSV Files

Datrise syncs Google Analytics 360's records, events, and configuration objects into CSV Files as one CSV per source entity. Flexible or custom fields land in JSON-encoded strings for nested fields, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.

Sync is incremental: Datrise uses writes a fresh, fully-typed CSV per entity each run, so re-runs update only what changed. Optional date-suffixed files for change tracking. CSV has no types, so Datrise emits a companion schema and quotes/escapes consistently so downstream loaders don't misparse commas and newlines.

Ideal for portable hand-off into any tool that ingests delimited files.

Endpoints

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

CSV Files: Flat-file destination for exports and lightweight data sharing.

How Google Analytics 360 entities map to CSV Files

Google Analytics 360 entityCSV Files objectNotes
recordsgoogle_analytics_360_recordsid PK · custom fields → JSON-encoded strings for nested fields
eventsgoogle_analytics_360_eventsISO-8601 timestamp columns 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 CSV Files?

Flexible values are stored as JSON-encoded strings for nested fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native CSV Files types.

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

It runs incrementally — Datrise uses writes a fresh, fully-typed CSV per entity each run.

Related pipelines

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