Modernizing Legacy Data Warehouses: A Framework for Exadata Migration in Regulated Financial Ecosystems

Abstract

Financial institutions are under more & more pressure to modernize their previous data warehouses to meet modern needs for speed, scalability & compliance. Traditional on-premise systems can have high maintenance expenses, broken data pipelines & performance constraints that make it challenging to execute actual time analytics & the  compliance reporting. This article discusses a pragmatic approach for migrating previous data warehouses to Oracle Exadata inside regulated by their financial environments. The framework stresses the balance between modernization and strict security and compliance rules, such as PCI-DSS, GDPR, and SOX. It gives a step-by-step strategy that includes readiness evaluation, data profiling, architectural improvement, and progressive migration methods. All of these are supported by automated testing and data validation. This case study of a top-tier bank shows how this strategy helped the bank go from a single data warehouse to a hybrid cloud architecture using Exadata. The main conclusions are that query latency has gone down a lot, data governance has improved because centralized supervision & compliance monitoring has gone up thanks to integration of these auditing tools. The research emphasizes its findings on the encryption, access management & performance optimization for managing their workloads. This plan accelerates modernization while making sure that migration projects fulfill the criteria for financial reporting and operational resilience. By combining existing data management procedures with Exadata's high-performance architecture, financial institutions may use advanced analytical tools while still keeping the trust, transparency, and compliance that are so important in business