DatriseAI-first ETL

WorkRamp to GoodData Integration

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

How Datrise loads WorkRamp into GoodData

Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications into GoodData as warehouse tables GoodData maps into its logical data model. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. GoodData's LDM maps datasets by keys, so Datrise lands stable primary and foreign id columns to keep the model valid.

Ideal for embedded, multi-tenant analytics.

Endpoints

WorkRamp: Employee training, courses, and completion tracking.

GoodData: Composable analytics platform with headless BI and embedded dashboards.

How WorkRamp entities map to GoodData

WorkRamp entityGoodData objectNotes
coursesworkramp_coursesid PK · custom fields → flattened columns
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 GoodData?

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

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

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

Related pipelines

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