Abstract

The rapid growth of cloud computing has encouraged enterprises to modernize legacy data infrastructures by migrating workloads from on-premise environments to scalable cloud platforms. However, large organizations often face operational, regulatory, and architectural constraints that prevent immediate full migration. As a result, hybrid environments where on-premise systems coexist with cloud platforms have become a common transitional architecture. Managing data consistency and governance across such environments introduces significant challenges, particularly when multiple systems interact with shared datasets.
This paper presents a controlled one-way synchronization framework designed to support enterprise-scale data migration from on-premise systems to cloud platforms while maintaining operational stability and data integrity. The proposed approach establishes clear system-of-record ownership, structured data flow governance, and event-driven integration pipelines that enable reliable replication of operational data into cloud environments. Additionally, the framework incorporates reconciliation mechanisms and monitoring capabilities to ensure synchronization accuracy and compliance with enterprise governance policies.
The study outlines architectural design principles, governance considerations, and scalable integration patterns that organizations can adopt to implement hybrid migration strategies effectively. By leveraging controlled synchronization models and structured data governance practices, enterprises can gradually modernize their infrastructure while minimizing disruption to existing operational systems.