DatriseAI-first ETL

RD Station CRM Databricks SQL Warehouse

AI-first ETL from RD Station CRM into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads RD Station CRM into Databricks SQL Warehouse

Datrise syncs RD Station CRM's contacts, accounts, deals, activities, and lifecycle events into Databricks SQL Warehouse as a Delta Lake table per source entity. Flexible or custom fields land in VARIANT or STRUCT columns, and timestamps such as created, updated, and status changes are typed as TIMESTAMP.

Sync is incremental: Datrise uses a Delta MERGE on stable id, with change history available via time travel, so re-runs update only what changed. Delta partitioning by load date with OPTIMIZE/Z-ORDER on query keys. Datrise writes Unity Catalog–governed Delta tables, so lineage and permissions are managed centrally rather than per-notebook.

Ideal for lakehouse analytics and ML feature tables on Databricks.

Endpoints

RD Station CRM: CRM widely used in Latin America for sales pipeline and customer ops.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How RD Station CRM entities map to Databricks SQL Warehouse

RD Station CRM entityDatabricks SQL Warehouse objectNotes
contactsrd_station_crm_contactsid PK · custom fields → VARIANT or STRUCT columns
accountsrd_station_crm_accountsid PK · linked to rd_station_crm_contacts
dealsrd_station_crm_dealsid PK · linked to rd_station_crm_contacts
activitiesrd_station_crm_activitiesTIMESTAMP events

FAQ

How does Datrise handle RD Station CRM's custom fields in Databricks SQL Warehouse?

Flexible values are stored as VARIANT or STRUCT columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Databricks SQL Warehouse types.

How does the RD Station CRM to Databricks SQL Warehouse sync stay up to date?

It runs incrementally — Datrise uses a Delta MERGE on stable id, with change history available via time travel.

Related pipelines

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