DatriseAI-first ETL

Microsoft SharePoint to Amazon QuickSight Integration

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

How Datrise loads Microsoft SharePoint into Amazon QuickSight

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into Amazon QuickSight as warehouse tables or a SPICE-loaded dataset. Flexible or custom fields land in flattened columns for analyses, and timestamps such as created, updated, and status changes are typed as date/time fields.

Sync is incremental: Datrise uses incremental refresh of the tables behind SPICE or direct query, so re-runs update only what changed. Date-partitioned facts to bound SPICE refresh. QuickSight SPICE is an in-memory copy, so Datrise keeps the backing tables incremental so refreshes stay cheap.

Ideal for AWS-native dashboards with pay-per-session pricing.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

Amazon QuickSight: AWS serverless BI with SPICE and embedded analytics.

How Microsoft SharePoint entities map to Amazon QuickSight

Microsoft SharePoint entityAmazon QuickSight objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → flattened columns for analyses
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 Amazon QuickSight?

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

How does the Microsoft SharePoint to Amazon QuickSight sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the tables behind SPICE or direct query.

Related pipelines

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