DatriseAI-first ETL

Google Analytics Qlik

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

How Datrise loads Google Analytics into Qlik

Datrise syncs Google Analytics's sessions, events, channels, conversions, and behavior cohorts into Qlik as tables loaded into Qlik's associative engine (often via QVD). Flexible or custom fields land in flattened columns for the data model, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental QVD loads merged on stable id, so re-runs update only what changed. QVD files per entity and load date. Qlik's associative model joins on identically named fields, so Datrise standardizes key names so associations link correctly.

Ideal for associative, in-memory exploration in Qlik Sense.

Endpoints

Google Analytics: Web and product analytics for behavior and traffic insights.

Qlik: Associative analytics with Qlik Sense apps and governed data models.

How Google Analytics entities map to Qlik

Google Analytics entityQlik objectNotes
sessionsgoogle_analytics_sessionsid PK · custom fields → flattened columns for the data model
eventsgoogle_analytics_eventsdate/time fields 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 Qlik?

Flexible values are stored as flattened columns for the data model, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Qlik types.

How does the Google Analytics to Qlik sync stay up to date?

It runs incrementally — Datrise uses incremental QVD loads merged on stable id.

Related pipelines

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