DatriseAI-first ETL

WorkRamp to Microsoft SQL Server Integration

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

How Datrise loads WorkRamp into Microsoft SQL Server

Datrise syncs WorkRamp's courses, learners, enrollments, completions, assignments, and certifications into Microsoft SQL Server as a typed table per source entity. Flexible or custom fields land in NVARCHAR(MAX) JSON columns, and timestamps such as created, updated, and status changes are typed as datetime2.

Sync is incremental: Datrise uses a watermark on updated-at, applied with a MERGE statement, so re-runs update only what changed. Optional partitioned tables on a date partition function. SQL Server defaults to a case-insensitive collation, so Datrise preserves original casing in a metadata column to avoid silent key collisions.

Ideal for Microsoft-stack analytics and Power BI Import models.

Endpoints

WorkRamp: Employee training, courses, and completion tracking.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How WorkRamp entities map to Microsoft SQL Server

WorkRamp entityMicrosoft SQL Server objectNotes
coursesworkramp_coursesid PK · custom fields → NVARCHAR(MAX) JSON 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 Microsoft SQL Server?

Flexible values are stored as NVARCHAR(MAX) JSON columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Microsoft SQL Server types.

How does the WorkRamp to Microsoft SQL Server sync stay up to date?

It runs incrementally — Datrise uses a watermark on updated-at, applied with a MERGE statement.

Related pipelines

Early access

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