DatriseAI-first ETL

Microsoft Sharepoint Klipfolio

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

How Datrise loads Microsoft Sharepoint into Klipfolio

Datrise syncs Microsoft Sharepoint's records, events, and configuration objects into Klipfolio as query-ready tables or feeds Klipfolio reads. Flexible or custom fields land in flattened columns for Klips, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables or data feeds, so re-runs update only what changed. Date-partitioned facts for trend Klips. Klipfolio pulls from sources on a refresh interval, so Datrise keeps tables incrementally current to match.

Ideal for real-time KPI dashboards and wallboards.

Endpoints

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

Klipfolio: Dashboard platform for real-time KPIs and metric wallboards.

How Microsoft Sharepoint entities map to Klipfolio

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

FAQ

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

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

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

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

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