Overcoming Barriers to Data Virtualization Adoption

This research presents a practicable, independent, and unscripted “cross-talk” to fill information gaps and assist companies in overcoming barriers to data virtualization adoption

The challenges of data management are getting exponentially harder. With the ever-increasing quantities, sources, and structures of data – as well as the insurgence of new tools and techniques for storing, analyzing, and deriving deeper insights from this information – data-driven companies continue to evaluate and explore data management technologies that better integrate, consolidate, and unify data in a way that offers tangible business value. Data virtualization is so compelling because it addresses business demands for data unification and supports high iteration and fast r

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