Case study · Financial Services
EDW-to-Lakehouse Migration
Teradata EDW retired; Databricks lakehouse with Unity Catalog governance.
Key results
- Query performance +4x
- Storage cost -58%
- ML workload enablement new
Context
A financial services firm had run its enterprise data warehouse on Teradata for over a decade. The platform was reliable but the cost structure no longer justified the performance, and ML workloads that the firm wanted to run required data-movement into a separate environment — introducing lag and cost.
Challenge
Migration had to preserve every existing regulatory report unchanged at the numeric level. Any discrepancy would require rework and delay the migration.
Approach
Thoughtwave delivered a 7-month EDW-to-lakehouse migration on Databricks with Unity Catalog governance: parity testing on every regulatory report, phased migration by business domain, and ML-workload enablement during the migration so the new capability was immediately usable.
Outcomes
Query performance improved 4× across the common workload patterns; storage cost dropped 58% through lakehouse economics; ML workloads that previously required data-movement now ran natively on the lakehouse — which enabled use cases that were economically infeasible under the prior architecture.
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