Modernizing Regulatory Data Pipelines: Migrating from Traditional Databases to Cloud-Based Environments for Enhanced Compliance and Security

Abstract

Regulatory reporting demands that enterprises manage complex, high-volume datasets while ensuring precision, auditability, and adaptability. Traditional enterprise data warehouses such as Teradata and Oracle, though historically dependable, face increasing constraints regarding scalability, security, flexibility, and infrastructure costs. This article explores modernization through migration of legacy data and reporting workflows into cloud-native environments, including Snowflake, BigQuery, and Azure Synapse, supported by automation frameworks. Cloud migration enhances scalability while strengthening data security, simplifying compliance management, and reducing operational expenses, with organizations reporting average audit preparation time reductions of 60–70%. Drawing from industry research and modernization case studies across healthcare, financial services, and insurance sectors, this work highlights limitations of on-premises systems and advantages of cloud solutions, including elastic compute, improved disaster recovery, integrated governance, and accelerated innovation cycles. Comparative analysis of traditional, hybrid, and cloud-only strategies reveals that migration to cloud-native platforms offers superior long-term resilience for regulated enterprises. The article demonstrates that modernizing regulatory data pipelines through cloud adoption represents transformative innovation, enabling enterprises to meet evolving regulatory requirements while building future-ready data ecosystems.