DatriseAI-first ETL

Microsoft Teams to GoodData Integration

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

How Datrise loads Microsoft Teams into GoodData

Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call records 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 Teams: Team chat, channels, and meeting activity.

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

How Microsoft Teams entities map to GoodData

Microsoft Teams entityGoodData 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 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 Teams to GoodData sync stay up to date?

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

Related pipelines

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