DatriseAI-first ETL

WorkRamp to Metabase Integration

AI-first ETL from WorkRamp into Metabase. Governed entities, incremental sync, typed landing tables.

How Datrise loads WorkRamp into Metabase

Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications into Metabase as clean SQL tables Metabase auto-discovers. Flexible or custom fields land in flattened columns for the question builder, and timestamps such as created, updated, and status changes are typed as temporal columns for trends.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts for large questions. Metabase auto-scans schemas, so Datrise uses readable table and column names so the no-code UI stays self-explanatory.

Ideal for self-serve questions and dashboards for whole teams.

Endpoints

WorkRamp: Employee training, courses, and completion tracking.

Metabase: Open-source analytics with questions, dashboards, and embedded insights.

How WorkRamp entities map to Metabase

WorkRamp entityMetabase objectNotes
coursesworkramp_coursesid PK · custom fields → flattened columns for the question builder
learnersworkramp_learnersid PK · linked to workramp_courses
enrollmentsworkramp_enrollmentsid PK · linked to workramp_courses
completionsworkramp_completionsid PK · linked to workramp_courses

FAQ

How does Datrise handle WorkRamp's custom fields in Metabase?

Flexible values are stored as flattened columns for the question builder, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Metabase types.

How does the WorkRamp to Metabase sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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