DatriseAI-first ETL

Oracle CX Databricks SQL Warehouse

AI-first ETL from Oracle CX into Databricks SQL Warehouse. Governed entities, incremental sync, typed landing tables.

How Datrise loads Oracle CX into Databricks SQL Warehouse

Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations 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

Oracle CX: Enterprise customer experience suite with sales and service data.

Databricks SQL Warehouse: Lakehouse SQL endpoints over Delta tables.

How Oracle CX entities map to Databricks SQL Warehouse

Oracle CX entityDatabricks SQL Warehouse objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → VARIANT or STRUCT columns
serviceoracle_cx_serviceid PK · linked to oracle_cx_enterprise_cx_entities_across_sales
customer operationsoracle_cx_customer_operationsid PK · linked to oracle_cx_enterprise_cx_entities_across_sales

FAQ

How does Datrise handle Oracle CX'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 Oracle CX 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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