DatriseAI-first ETL

Google Ecommerce to Looker Integration

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

How Datrise loads Google Ecommerce into Looker

Datrise syncs Google Ecommerce's transactions, products, product impressions, checkout steps, revenue, and refunds into Looker as governed warehouse tables with LookML-ready naming. Flexible or custom fields land in flattened columns (nested fields expanded for modeling), and timestamps such as created, updated, and status changes are typed as date/time dimension columns.

Sync is incremental: Datrise uses incremental refresh of the underlying warehouse tables Looker explores, so re-runs update only what changed. Date-partitioned fact tables for PDT performance. Looker models live in LookML on top of SQL, so Datrise lands clean, stable column names rather than churn that would break your views.

Ideal for governed, version-controlled BI on a warehouse.

Endpoints

Google Ecommerce: Ecommerce reporting from Google Analytics.

Looker: Google Cloud BI with LookML semantic models and governed dashboards.

How Google Ecommerce entities map to Looker

Google Ecommerce entityLooker objectNotes
transactionsgoogle_ecommerce_transactionsid PK · custom fields → flattened columns (nested fields expanded for modeling)
productsgoogle_ecommerce_productsid PK · linked to google_ecommerce_transactions
product impressionsgoogle_ecommerce_product_impressionsid PK · linked to google_ecommerce_transactions
checkout stepsgoogle_ecommerce_checkout_stepsid PK · linked to google_ecommerce_transactions

FAQ

How does Datrise handle Google Ecommerce's custom fields in Looker?

Flexible values are stored as flattened columns (nested fields expanded for modeling), so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Looker types.

How does the Google Ecommerce to Looker sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the underlying warehouse tables Looker explores.

Related pipelines

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