Openweather to Redash Integration
AI-first ETL from Openweather into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads Openweather into Redash
Datrise syncs Openweather's current conditions, forecasts, locations, temperature readings, precipitation, and observation times into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, and timestamps such as created, updated, and status changes are typed as temporal columns.
Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.
Ideal for lightweight, query-driven dashboards.
Endpoints
Openweather: Current conditions and weather forecast data.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How Openweather entities map to Redash
| Openweather entity | Redash object | Notes |
|---|---|---|
| current conditions | openweather_current_conditions | id PK · custom fields → flattened columns for query results |
| forecasts | openweather_forecasts | id PK · linked to openweather_current_conditions |
| locations | openweather_locations | id PK · linked to openweather_current_conditions |
| temperature readings | openweather_temperature_readings | id PK · linked to openweather_current_conditions |
FAQ
How does Datrise handle Openweather's custom fields in Redash?
Flexible values are stored as flattened columns for query results, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Redash types.
How does the Openweather to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for Openweather
Early access
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