DatriseAI-first ETL

Microsoft Sharepoint Yellowfin

AI-first ETL from Microsoft Sharepoint into Yellowfin. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft Sharepoint into Yellowfin

Datrise syncs Microsoft Sharepoint's records, events, and configuration objects into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Microsoft Sharepoint: SaaS or API data source for analytics and warehouse sync.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Microsoft Sharepoint entities map to Yellowfin

Microsoft Sharepoint entityYellowfin objectNotes
recordsmicrosoft_sharepoint_recordsid PK · custom fields → flattened columns
eventsmicrosoft_sharepoint_eventsdate/time dimensions events
configuration objectsmicrosoft_sharepoint_configuration_objectsid PK · linked to microsoft_sharepoint_records

FAQ

How does Datrise handle Microsoft Sharepoint's custom fields in Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the Microsoft Sharepoint to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

Connect Microsoft Sharepoint to Yellowfin 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.