DatriseAI-first ETL

Ms Teams ThoughtSpot

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

How Datrise loads Ms Teams into ThoughtSpot

Datrise syncs Ms Teams'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

Ms Teams: SaaS or API data source for analytics and warehouse sync.

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

How Ms Teams entities map to ThoughtSpot

Ms Teams entityThoughtSpot objectNotes
recordsms_teams_recordsid PK · custom fields → flattened columns for searchable fields
eventsms_teams_eventsdate/time columns events
configuration objectsms_teams_configuration_objectsid PK · linked to ms_teams_records

FAQ

How does Datrise handle Ms Teams'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 Ms Teams to ThoughtSpot sync stay up to date?

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

Related pipelines

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