DatriseAI-first ETL

Oracle CX Looker Studio

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

How Datrise loads Oracle CX into Looker Studio

Datrise syncs Oracle CX's enterprise CX entities across sales, service, and customer operations into Looker Studio as warehouse tables Looker Studio connects to. Flexible or custom fields land in flattened columns for chart fields, and timestamps such as created, updated, and status changes are typed as date dimension columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned tables to keep extract refresh fast. Looker Studio performs best on pre-aggregated tables, so Datrise lands tidy, report-shaped tables rather than raw API payloads.

Ideal for free, shareable dashboards on Google data sources.

Endpoints

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

Looker Studio: Google self-service dashboards and reporting (formerly Data Studio).

How Oracle CX entities map to Looker Studio

Oracle CX entityLooker Studio objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → flattened columns for chart fields
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 Looker Studio?

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

How does the Oracle CX to Looker Studio sync stay up to date?

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

Related pipelines

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