Weatherstack to Azure Synapse Integration
AI-first ETL from Weatherstack into Azure Synapse. Governed entities, incremental sync, typed landing tables.
How Datrise loads Weatherstack into Azure Synapse
Datrise syncs Weatherstack's current conditions, forecasts, historical readings, locations, temperature readings, and observation times 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
Weatherstack: Current, historical, and forecast weather lookups.
Azure Synapse: Microsoft analytics workspace with SQL pools.
How Weatherstack entities map to Azure Synapse
| Weatherstack entity | Azure Synapse object | Notes |
|---|---|---|
| current conditions | weatherstack_current_conditions | id PK · custom fields → NVARCHAR(MAX) JSON columns |
| forecasts | weatherstack_forecasts | id PK · linked to weatherstack_current_conditions |
| historical readings | weatherstack_historical_readings | datetime2 events |
| locations | weatherstack_locations | id PK · linked to weatherstack_current_conditions |
FAQ
How does Datrise handle Weatherstack'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 Weatherstack 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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