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Banking & financial services

A governed view of financial data

Bring transaction history and customer records into shared SQL models. Control analytical access and keep reporting separate from ingestion and core banking.

An analytical layer alongside core systems

Ingest approved records, build repeatable reporting models, and apply role-based access to shared historical datasets.

Architecture: From Financial Records to Governed Analytics

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Approved transaction extracts, database changes, and customer dimensions load into an analytical layer separate from core banking. Streams and SQL Tasks build shared reporting models; database roles control access for reporting, reconciliation, and audit preparation.DATA SOURCESDATA APPLICATIONSTransaction dataApproved extracts / CDCCustomer recordsApproved dimensionsLoad / source syncBatch files + changesAnalytical replicationfinancial_recordsRetained transaction historyShared object storageStreamsTrack new analytical recordsIncremental reporting inputsSQL TasksJoin and reconcile sourcesRefresh reporting modelsreporting_modelsShared financial datasetsRole-controlled accessFinancial reportsReconciliationCustomer viewsAudit preparationHistorical analytics · Retention policies · RBACSeparate from core transaction processing

Retain analytical history

Query large transaction histories without keeping all records in an operational serving system.

Build consistent reports

Join approved customer and transaction data with repeatable SQL workflows.

Control data access

Use database roles and retention policies aligned with your organization’s requirements.

Explore the details

Plan governed financial analytics

Discuss data scope, access controls, and deployment requirements with our team.

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