Conventional data management approaches have always emphasized the physical movement of data across enterprise systems. Data virtualization (DV) introduced a paradigm shift to this approach by virtue of not physically moving data. This innovative approach has successfully addressed some of the shortcomings of the conservative approach. However, DV is not a silver bullet for all data management issues and presents its own set of challenges, as we will explore in this Executive Update.