DatriseAI-first ETL

Microsoft Sharepoint ThoughtSpot

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

How Datrise loads Microsoft Sharepoint into ThoughtSpot

Datrise syncs Microsoft Sharepoint's records, events, and configuration objects into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

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

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Microsoft Sharepoint entities map to ThoughtSpot

Microsoft Sharepoint entityThoughtSpot objectNotes
recordsmicrosoft_sharepoint_recordsid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

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