FINANCIAL DATA MIGRATION
Large-scale migration from on-premise data warehouse to Azure Databricks with AI-powered analytics.
2025
Cloud Migration & AI Enablement
In Progress
A Dutch financial services firm needed to decommission their legacy on-premise Oracle data warehouse and migrate to a modern cloud-native analytics stack. NexOps is leading the migration to Databricks Lakehouse and Azure Synapse Analytics, ensuring zero data loss, minimal downtime, and full regulatory compliance — while simultaneously enabling AI and machine learning capabilities that were impossible on the legacy platform.
METHODOLOGY
- 01
Conducted a comprehensive assessment of 2,000+ ETL jobs and 800 reports for migration planning and AI readiness evaluation
- 02
Designed a phased migration strategy with parallel running to validate data accuracy at every stage, targeting Databricks as the primary analytics engine
- 03
Built automated schema conversion and AI-assisted data validation tools on Databricks to accelerate migration velocity
- 04
Implemented Databricks Lakehouse for advanced analytics, ML model development, and AI-driven financial risk scoring
- 05
Deployed AI-powered fraud detection and transaction anomaly models using Databricks ML and MLflow, enabling capabilities not possible on legacy Oracle
OUTCOMES
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Migrated 15TB of historical data with zero data loss across 200+ source tables to Databricks Lakehouse
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Achieved 40% reduction in annual infrastructure costs compared to on-premise operation
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Enabled AI-driven fraud detection and risk analytics — previously impossible on legacy Oracle infrastructure
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Maintained continuous reporting availability throughout the 6-month migration window
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