DatriseAI-first ETL

Yotpo Microsoft Power BI

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

How Datrise loads Yotpo into Microsoft Power BI

Datrise syncs Yotpo's reviews, loyalty members, redemptions, and campaign events into Microsoft Power BI as star-schema-friendly tables for an Import or DirectQuery dataset. Flexible or custom fields land in flattened columns (nested fields expanded), and timestamps such as created, updated, and status changes are typed as date/time columns with a date table.

Sync is incremental: Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd, so re-runs update only what changed. Date-partitioned fact tables matching incremental-refresh policies. Power BI measures and relationships live in the .pbix model, so Datrise keeps the underlying tables stable and star-schema-shaped.

Ideal for Microsoft-stack self-serve reporting.

Endpoints

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

Microsoft Power BI: Microsoft business intelligence with datasets, reports, and semantic models.

How Yotpo entities map to Microsoft Power BI

Yotpo entityMicrosoft Power BI objectNotes
reviewsyotpo_reviewsid PK · custom fields → flattened columns (nested fields expanded)
loyalty membersyotpo_loyalty_membersid PK · linked to yotpo_reviews
redemptionsyotpo_redemptionsid PK · linked to yotpo_reviews
campaign eventsyotpo_campaign_eventsdate/time columns with a date table events

FAQ

How does Datrise handle Yotpo's custom fields in Microsoft Power BI?

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

How does the Yotpo to Microsoft Power BI sync stay up to date?

It runs incrementally — Datrise uses incremental-refresh windows aligned to Power BI's RangeStart/RangeEnd.

Related pipelines

Early access

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