DatriseAI-first ETL

WorkRamp to ThoughtSpot Integration

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

How Datrise loads WorkRamp into ThoughtSpot

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

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

WorkRamp: Employee training, courses, and completion tracking.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How WorkRamp entities map to ThoughtSpot

WorkRamp entityThoughtSpot objectNotes
coursesworkramp_coursesid PK · custom fields → flattened columns for searchable fields
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 ThoughtSpot?

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

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

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

Related pipelines

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