DatriseAI-first ETL

Yotpo Looker

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

How Datrise loads Yotpo into Looker

Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign events 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

Yotpo: Reviews and loyalty marketing for e-commerce brands.

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

How Yotpo entities map to Looker

Yotpo entityLooker objectNotes
reviewsyotpo_reviewsid PK · custom fields → flattened columns (nested fields expanded for modeling)
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsdate/time dimension columns events

FAQ

How does Datrise handle Yotpo'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 Yotpo 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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