Data virtualization is a hot topic and more and more software companies are jumping onto the bandwagon and claiming that they provide Data Virtualization capabilities. The result has been a lot of hype and confusion about the definition and capacity of Data Virtualization. This dilution has therefore made it difficult for data management and integration professionals to understand the benefits—and potential pitfalls—of using Data Virtualization. How can these professionals cut through the hype and confusion and understand what Data Virtualization is and what it can do for them? How can theyidentify if Data Virtualization is right for their project?
