Data Integrity: The Hidden Foundation of Successful Cloud Migrations

Abstract

Data integrity stands as the invisible foundation of successful cloud migrations, encompassing multiple dimensions that organizations must address to ensure trustworthy transitions from legacy systems. This article explores the four pillars of data integrity—entity, referential, domain, and temporal—that together create a framework for understanding and maintaining data quality throughout migration processes. By examining verification techniques, including automated comparison methods and audit integrity requirements, the discussion reveals how comprehensive validation strategies establish a continuous chain of trust. The article extends to real-time monitoring approaches during migration execution, highlighting how continuous validation and threshold-based alerting create proactive safeguards against integrity violations. Finally, the article addresses post-migration integrity maintenance strategies, from synchronization between legacy and new systems to specialized governance frameworks and long-term verification approaches. Through detailed analysis of these interconnected elements, readers gain a practical understanding of how data integrity serves as both a technical requirement and a business necessity in the increasingly complex landscape of cloud migrations.