DatriseAI-first ETL

Pendo Microsoft Power BI

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

How Datrise loads Pendo into Microsoft Power BI

Datrise syncs Pendo's events, guides, NPS, feature adoption, and account metadata 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

Pendo: Product analytics and in-app guidance for SaaS teams.

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

How Pendo entities map to Microsoft Power BI

Pendo entityMicrosoft Power BI objectNotes
eventspendo_eventsdate/time columns with a date table events
guidespendo_guidesid PK · linked to pendo_events
NPSpendo_npsid PK · linked to pendo_events
feature adoptionpendo_feature_adoptionid PK · linked to pendo_events

FAQ

How does Datrise handle Pendo'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 Pendo 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

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