Teradata D → Azure Synapse
AI-first ETL from Teradata D into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Teradata D into Azure Synapse
Datrise syncs Teradata D'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
Teradata D: SaaS or API data source for analytics and warehouse sync.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Teradata D entities map to Azure Synapse
| Teradata D entity | Azure Synapse object | Notes |
|---|---|---|
| records | teradata_d_records | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| events | teradata_d_events | datetime2 events |
| configuration objects | teradata_d_configuration_objects | id PK · linked to teradata_d_records |
FAQ
How does Datrise handle Teradata D'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 Teradata D 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 Teradata D to Azure Synapse the easy way
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