Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, and the shift from merely integrating the data to remove silos to today’s mission of managing it so it can be used to its fullest. Let’s start with the first issue.
