DatriseAI-first ETL

Microsoft SharePoint to Looker Studio Integration

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

How Datrise loads Microsoft SharePoint into Looker Studio

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Microsoft SharePoint entities map to Looker Studio

Microsoft SharePoint entityLooker Studio objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → flattened columns for chart fields
listsmicrosoft_sharepoint_listsid PK · linked to microsoft_sharepoint_sites
list itemsmicrosoft_sharepoint_list_itemsid PK · linked to microsoft_sharepoint_sites
documentsmicrosoft_sharepoint_documentsid PK · linked to microsoft_sharepoint_sites

FAQ

How does Datrise handle Microsoft SharePoint's custom fields in Looker Studio?

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

How does the Microsoft SharePoint to Looker Studio sync stay up to date?

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

Related pipelines

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