DatriseAI-first ETL

Club Speed to Looker Integration

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

How Datrise loads Club Speed into Looker

Datrise syncs Club Speed's customers, races, bookings, products, transactions, and memberships 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

Club Speed: Venue management for karting and entertainment centers.

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

How Club Speed entities map to Looker

Club Speed entityLooker objectNotes
customersclubspeed_customersid PK · custom fields → flattened columns (nested fields expanded for modeling)
racesclubspeed_racesid PK · linked to clubspeed_customers
bookingsclubspeed_bookingsid PK · linked to clubspeed_customers
productsclubspeed_productsid PK · linked to clubspeed_customers

FAQ

How does Datrise handle Club Speed'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 Club Speed 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

Connect Club Speed to Looker the easy way

Skip brittle scripts and manual exports. Join the waitlist to get a guided setup, AI-assisted mapping, and reliable incremental sync for this integration.