DatriseAI-first ETL

Cart to Looker Integration

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

How Datrise loads Cart into Looker

Datrise syncs Cart's orders, products, customers, shipments, payments, and discounts 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

Cart: Ecommerce storefront and order management.

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

How Cart entities map to Looker

Cart entityLooker objectNotes
orderscart_ordersid PK · custom fields → flattened columns (nested fields expanded for modeling)
productscart_productsid PK · linked to cart_orders
customerscart_customersid PK · linked to cart_orders
shipmentscart_shipmentsid PK · linked to cart_orders

FAQ

How does Datrise handle Cart'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 Cart to Looker sync stay up to date?

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

Related pipelines

Early access

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