DatriseAI-first ETL

Oracle CX Azure Synapse

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

How Datrise loads Oracle CX into Azure Synapse

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

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

Azure Synapse: Microsoft analytics workspace with SQL pools.

How Oracle CX entities map to Azure Synapse

Oracle CX entityAzure Synapse objectNotes
enterprise CX entities across salesoracle_cx_enterprise_cx_entities_across_salesid PK · custom fields → NVARCHAR(MAX) JSON 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 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 Oracle CX 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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