Asana → Azure Synapse
AI-first ETL from Asana into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Asana into Azure Synapse
Datrise syncs Asana's projects, tasks, sections, custom fields, and assignment timelines 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
Asana: Work management for projects, tasks, and cross-team delivery.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Asana entities map to Azure Synapse
| Asana entity | Azure Synapse object | Notes |
|---|---|---|
| projects | asana_projects | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| tasks | asana_tasks | id PK · linked to asana_projects |
| sections | asana_sections | id PK · linked to asana_projects |
| custom fields | asana_custom_fields | id PK · linked to asana_projects |
FAQ
How does Datrise handle Asana'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 Asana to Azure Synapse sync stay up to date?
It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.
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Early access
Connect Asana to Azure Synapse the easy way
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