DatriseAI-first ETL

Microsoft Teams to Yellowfin Integration

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

How Datrise loads Microsoft Teams into Yellowfin

Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call records into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

Microsoft Teams: Team chat, channels, and meeting activity.

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Microsoft Teams entities map to Yellowfin

Microsoft Teams entityYellowfin objectNotes
teamsmicrosoft_teams_teamsid PK · custom fields → flattened columns
channelsmicrosoft_teams_channelsid PK · linked to microsoft_teams_teams
messagesmicrosoft_teams_messagesid PK · linked to microsoft_teams_teams
usersmicrosoft_teams_usersid PK · linked to microsoft_teams_teams

FAQ

How does Datrise handle Microsoft Teams's custom fields in Yellowfin?

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 Yellowfin types.

How does the Microsoft Teams to Yellowfin sync stay up to date?

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

Related pipelines

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