DatriseAI-first ETL

Microsoft SharePoint to GoodData Integration

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

How Datrise loads Microsoft SharePoint into GoodData

Datrise syncs Microsoft SharePoint's sites, lists, list items, documents, libraries, and permissions into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

Microsoft SharePoint: Document libraries and team site content.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How Microsoft SharePoint entities map to GoodData

Microsoft SharePoint entityGoodData objectNotes
sitesmicrosoft_sharepoint_sitesid PK · custom fields → flattened columns
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 GoodData?

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 GoodData types.

How does the Microsoft SharePoint to GoodData sync stay up to date?

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

Related pipelines

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