Data Virtualization in Cloud Data Management

This guide discusses the role of data virtualization in managing cloud data effectively. It outlines the challenges organizations face with diverse data sources and the limitations of traditional data architectures like data warehouses and data lakes. The document explains how data virtualization serves as a bridge across various data sources, enabling real-time access to critical decision-making data without the need for extensive data movement or replication. It details the benefits of integrating data virtualization with cloud data architectures, which include improved data governance, immediate accessibility, and enhanced usability for business users. The guide also highlights a case study of GM Financial, illustrating how data virtualization has significantly accelerated their data analysis and reporting processes. Furthermore, it presents the complementary nature of data fabric and data mesh approaches in addressing complex data management issues, emphasizing the importance of data virtualization in achieving effective data utilization across enterprises.