DatriseAI-first ETL

Oracle CX Yellowfin

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

How Datrise loads Oracle CX into Yellowfin

Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into Yellowfin as warehouse tables Yellowfin builds views on. Flexible or custom fields land in flattened columns, and timestamps such as created, updated, and status changes are typed as date/time dimensions.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Yellowfin views reference columns by name, so Datrise lands stable, well-typed columns to keep reports valid.

Ideal for dashboards with automated data storytelling.

Endpoints

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

Yellowfin: BI suite with dashboards, automated insights, and data storytelling.

How Oracle CX entities map to Yellowfin

Oracle CX entityYellowfin objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → flattened 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 Yellowfin?

Flexible values are stored as flattened columns, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Yellowfin types.

How does the Oracle CX to Yellowfin sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

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