DatriseAI-first ETL

Rd Station Marketing Microsoft SQL Server

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

How Datrise loads Rd Station Marketing into Microsoft SQL Server

Datrise syncs Rd Station Marketing's records, events, and configuration objects 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

Rd Station Marketing: SaaS or API data source for analytics and warehouse sync.

Microsoft SQL Server: Microsoft relational DB with enterprise features.

How Rd Station Marketing entities map to Microsoft SQL Server

Rd Station Marketing entityMicrosoft SQL Server objectNotes
recordsrd_station_marketing_recordsid PK · custom fields → NVARCHAR(MAX) JSON columns
eventsrd_station_marketing_eventsdatetime2 events
configuration objectsrd_station_marketing_configuration_objectsid PK · linked to rd_station_marketing_records

FAQ

How does Datrise handle Rd Station Marketing'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 Rd Station Marketing to Microsoft SQL Server sync stay up to date?

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

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