WorkRamp to Redash Integration
AI-first ETL from WorkRamp into Redash. Governed entities, incremental sync, typed landing tables.
How Datrise loads WorkRamp into Redash
Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications 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
WorkRamp: Employee training, courses, and completion tracking.
Redash: Open-source SQL client for queries, visualizations, and dashboards.
How WorkRamp entities map to Redash
| WorkRamp entity | Redash object | Notes |
|---|---|---|
| courses | workramp_courses | id PK · custom fields → flattened columns for query results |
| learners | workramp_learners | id PK · linked to workramp_courses |
| enrollments | workramp_enrollments | id PK · linked to workramp_courses |
| completions | workramp_completions | id PK · linked to workramp_courses |
FAQ
How does Datrise handle WorkRamp'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 WorkRamp to Redash sync stay up to date?
It runs incrementally — Datrise uses incremental refresh of the connected tables.
Related pipelines
More destinations for WorkRamp
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