ETL and data virtualization

As organizations continue to adopt modern data architectures, the convergence of traditional ETL (Extract, Transform, Load) processes with data virtualization has emerged as a promising solution for integrating and managing complex data environments. Data virtualization allows real-time data access without physically moving the data, while ETL provides the foundation for data transformation and integration. This paper explores the integration of ETL and data virtualization, its benefits, and challenges, and provides insights into how businesses can leverage this approach to create a unified data management strategy.