DatriseAI-first ETL

RD Station Marketing to Azure Synapse Integration

AI-first ETL from RD Station Marketing into Azure Synapse. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station Marketing into Azure Synapse

Datrise syncs RD Station Marketing's leads, conversions, landing pages, emails, segmentations, and funnel stages into Azure Synapse 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 COPY into staging, then a MERGE on stable id, so re-runs update only what changed. Hash distribution on the join id with date partitioning on facts. Synapse dedicated pools reward good hash-distribution choices, so Datrise distributes on entity ids to avoid data-movement-heavy joins.

Ideal for Azure analytics estates feeding Power BI.

Endpoints

RD Station Marketing: Inbound marketing automation for Latin American teams.

Azure Synapse: Microsoft analytics workspace with SQL pools.

How RD Station Marketing entities map to Azure Synapse

RD Station Marketing entityAzure Synapse objectNotes
leadsrd_station_marketing_leadsid PK · custom fields → NVARCHAR(MAX) JSON columns
conversionsrd_station_marketing_conversionsid PK · linked to rd_station_marketing_leads
landing pagesrd_station_marketing_landing_pagesid PK · linked to rd_station_marketing_leads
emailsrd_station_marketing_emailsid PK · linked to rd_station_marketing_leads

FAQ

How does Datrise handle RD Station Marketing's custom fields in Azure Synapse?

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 Azure Synapse types.

How does the RD Station Marketing to Azure Synapse sync stay up to date?

It runs incrementally — Datrise uses COPY into staging, then a MERGE on stable id.

Related pipelines

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