Session
Transforming Credit Analytics With a Compliant Lakehouse at Rabobank
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data and AI Governance |
Industry | Financial Services |
Technologies | Unity Catalog, Databricks Apps |
Skill Level | Intermediate |
Duration | 40 min |
This presentation outlines Rabobank Credit analytics transition to a secure, audit-ready data architecture using Unity Catalog (UC), addressing critical regulatory challenges in credit analytics for IRB and IFRS9 regulatory modelling.
Key technical challenges:
- Legacy infrastructure (HMS + ADLS credential passthrough) lacked granular access auditing, creating governance and compliance gaps
- Limited visibility into lineage across 25+ data sources and many regulatory models
Details:
- A framework for phased governance implementation/migration (UC)
- UC and Lineage-driven refactoring
Outcomes:
- Lineage mapping demonstrating compliance with regulatory requirements
- Granular role-based access control
- Unified audit trails covering 100% of data accesses
Next:
- Lineage visualization toolkit: Custom app for impact analysis and reporting
- Lineage expansion initiative to incorporate upstream banking systems into UC metadata
Session Speakers
Taras Chaikovskyi
/Sr. Resident Solutions Architect
Databricks
Floris Hendriks
/Product Manager
Rabobank