Data virtualization tools are being deployed by organizations that want to light a fire under their data discovery projects. With modern, distributed analytics solutions becoming the new norm, companies\u00a0crave the ability to obtain a unified view of their data without having to move it.\u00a0As an added benefit, users are able to make real-time changes to data sets without disrupting the data as it physically sits, allowing them to virtually integrate disparate data sources quickly.<\/p>\n
As a strategic planning assumption, Gartner projects that by 2020, 35 percent of enterprise organizations will implement data virtualization as an alternative to data integration.\u00a0As vendor integration tools continue to evolve and the markets shift toward a focus on big data, virtualization software has become a technology of interest for traditional DBMS, data integration, and application tool providers. As a result, different provider models have emerged to offer data virtualization tools, and both traditional data integration vendors and DBMS providers have jumped on board.<\/p>\n
Check out this presentation, courtesy of the folks over at Denodo<\/a>, that provides an in-context introduction to data virtualization. Be sure to continue reading after you view the slideshow for a shortlist of data virtualization providers we think are worth considering.<\/p>\n <\/div><\/p>\n