DatriseAI-first ETL

Microsoft Teams GoodData

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 records, events, and configuration objects 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: SaaS or API data source for analytics and warehouse sync.

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

How Microsoft Teams entities map to GoodData

Microsoft Teams entityGoodData objectNotes
recordsmicrosoft_teams_recordsid PK · custom fields → flattened columns
eventsmicrosoft_teams_eventsdate dimensions events
configuration objectsmicrosoft_teams_configuration_objectsid PK · linked to microsoft_teams_records

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

Early access

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