The bank aimed to modernize its data warehouse ecosystem by migrating to a cloud-based architecture while ensuring uninterrupted reporting services, data consistency, and operational continuity throughout the transition process.
The bank’s enterprise data warehouse environment was operating on an on-premises Oracle infrastructure supporting multiple critical business domains, including internal management reporting, regulatory reporting, Asset & Liability Management (ALM), and fraud monitoring applications. As the platform evolved over time, increasing data volumes, operational complexity, and scalability requirements created challenges in maintaining sustainable and efficient data operations. The organization aimed to modernize its data warehouse ecosystem by migrating to a cloud-based architecture while ensuring uninterrupted reporting services, data consistency, and operational continuity throughout the transition process. In addition, legacy ETL and orchestration processes developed in PL/SQL needed to be redesigned to align with modern cloud-native data integration capabilities.
CALIGO led the end-to-end migration of the enterprise data warehouse from an on-premises Oracle environment to the Microsoft Azure platform. As part of the transformation program, CALIGO: Redesigned target physical data models for Azure SQL architecture Migrated enterprise data warehouse workloads to the Azure platform Re-engineered PL/SQL-based ETL and orchestration processes using Azure Data Factory Redesigned scheduling and integration workflows for cloud-native operations Executed detailed reconciliation and validation processes between legacy and target environments Conducted a two-month parallel run process to compare outputs between old and new platforms Managed regression validation and business approval processes before go-live Supported controlled production transition and operational stabilization activities The migration program focused on ensuring data consistency, operational continuity, and scalable cloud-based architecture design while minimizing business disruption during the transition period.
The organization successfully transitioned its enterprise data warehouse ecosystem from an on-premises Oracle infrastructure to a scalable and modern Azure-based platform. The new architecture improved scalability, operational flexibility, and maintainability while enabling cloud-native orchestration and data integration capabilities. Through extensive validation and the parallel run strategy, the migration was completed with controlled risk and high confidence in reporting consistency across all business domains.