CLOUD-NATIVE DIGITAL TRANSFORMATION: LESSONS FROM LARGE-SCALE DATA MIGRATIONS

Abstract

This research focuses on large-scale data migration with an eye on cloud-native digital transformation. This study uses secondary data obtained from academic journals, industry reports, and white papers. Here, this study also indicates that downtime has been reduced by up to 60% and operational costs have been reduced by 40% through strategic planning and AI-driven automation. However, security challenges persist, which emphasizes the need for strong encryption and compliance systems. The insights from this study provide a framework for organizations to adopt effective cloud migration strategies, ensure a smooth transition, and ensure improved operational performance in cloud-native environments. Here, this study also uses secondary data from several secondary sources such as newspapers, reports, case studies, and magazines to enhance the research objectives. Here, this study describes metrics analysis, security incidents, system downtime, data accuracy, and cost savings.