A global insurance organization required a faster and lower-risk approach to modernizing its legacy Oracle Autonomous Data Warehouse (ADW) environment. Incremental loads were slow, PL/SQL pipelines were complex to maintain, and the platform lacked the scalability required for future analytics and AI initiatives.
By leveraging KPI Partners’ Data Platform Migration Accelerator, enhanced with GenAI-assisted code conversion and automated data validation, the organization migrated Oracle ADW schemas, historical data, PL/SQL logic, snapshots, and job workflows to Databricks. This automation-first approach reduced manual effort, improved accuracy, and accelerated delivery.
The result was a simplified, high-performance Databricks architecture with significantly faster data loads, higher confidence in data quality, and a scalable foundation ready for enterprise analytics and AI.
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If you’re modernizing Oracle ADW or planning a move to Databricks, this case study offers practical insights, proven approaches, and real-world enterprise outcomes to help you make informed decisions.