DatriseAI-first ETL

Microsoft Teams Azure Synapse

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

How Datrise loads Microsoft Teams into Azure Synapse

Datrise syncs Microsoft Teams's records, events, and configuration objects into Azure Synapse as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Microsoft Teams entities map to Azure Synapse

Microsoft Teams entityAzure Synapse objectNotes
recordsmicrosoft_teams_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsmicrosoft_teams_eventsdatetime2 events
configuration objectsmicrosoft_teams_configuration_objectsid PK · linked to microsoft_teams_records

FAQ

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

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Synapse types.

How does the Microsoft Teams to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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