Microsoft Teams to Azure Data Lake Storage Integration
AI-first ETL from Microsoft Teams into Azure Data Lake Storage. Governed entities, incremental sync, typed landing tables.
How Datrise loads Microsoft Teams into Azure Data Lake Storage
Datrise syncs Microsoft Teams's teams, channels, messages, users, meetings, and call records into Azure Data Lake Storage as partitioned Parquet in ADLS Gen2 per source entity. Flexible or custom fields land in nested struct/map fields in Parquet, and timestamps such as created, updated, and status changes are typed as ISO-8601 timestamp columns.
Sync is incremental: Datrise uses writes new date partitions to the container and compacts on a schedule, so re-runs update only what changed. Hive-style partitioning by load date, readable by Synapse and Databricks. ADLS hierarchical namespace makes folder layout matter, so Datrise keeps a predictable entity/date path your Azure engines mount directly.
Ideal for Azure lakehouse storage shared across Synapse and Databricks.
Endpoints
Microsoft Teams: Team chat, channels, and meeting activity.
Azure Data Lake Storage: ADLS Gen2 object storage for analytics workloads.
How Microsoft Teams entities map to Azure Data Lake Storage
| Microsoft Teams entity | Azure Data Lake Storage object | Notes |
|---|---|---|
| teams | microsoft_teams_teams | id PK · custom fields → nested struct/map fields in Parquet |
| channels | microsoft_teams_channels | id PK · linked to microsoft_teams_teams |
| messages | microsoft_teams_messages | id PK · linked to microsoft_teams_teams |
| users | microsoft_teams_users | id PK · linked to microsoft_teams_teams |
FAQ
How does Datrise handle Microsoft Teams's custom fields in Azure Data Lake Storage?
Flexible values are stored as nested struct/map fields in Parquet, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Azure Data Lake Storage types.
How does the Microsoft Teams to Azure Data Lake Storage sync stay up to date?
It runs incrementally — Datrise uses writes new date partitions to the container and compacts on a schedule.
Related pipelines
More destinations for Microsoft Teams
- Microsoft Teams → Azure Synapse
- Microsoft Teams → Spreadsheets
- Microsoft Teams → Airtable
- Microsoft Teams → CSV Files
- Microsoft Teams → MongoDB
- Microsoft Teams → Supabase
- Microsoft Teams → Neon
- Microsoft Teams → PlanetScale
- Microsoft Teams → Amazon DynamoDB
- Microsoft Teams → Looker
- Microsoft Teams → Looker Studio
- Microsoft Teams → Microsoft Power BI
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- My Hours → Azure Data Lake Storage
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- New York Times → Azure Data Lake Storage
- News API → Azure Data Lake Storage
- Newsdata → Azure Data Lake Storage
- Notion → Azure Data Lake Storage
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- Onesignal → Azure Data Lake Storage
- Onfleet → Azure Data Lake Storage
Early access
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