DatriseAI-first ETL

WorkRamp to MicroStrategy Integration

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

How Datrise loads WorkRamp into MicroStrategy

Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications into MicroStrategy as warehouse tables for MicroStrategy's schema objects. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the warehouse tables behind attributes and metrics, so re-runs update only what changed. Date-partitioned facts. MicroStrategy maps attributes to columns, so Datrise lands stable keys and names so metrics don't break.

Ideal for large-scale enterprise reporting and governance.

Endpoints

WorkRamp: Employee training, courses, and completion tracking.

MicroStrategy: Enterprise BI with dossiers, governed metrics, and mobility.

How WorkRamp entities map to MicroStrategy

WorkRamp entityMicroStrategy 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 MicroStrategy?

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 MicroStrategy types.

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

It runs incrementally — Datrise uses incremental refresh of the warehouse tables behind attributes and metrics.

Related pipelines

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