Data virtualization is seen as the answer to many of the woes that have afflicted data management over the years, from the expenses of data warehousing to information being siloed across departments and systems to the challenge of multiple formats.

To a large extent, the ability to abstract key data sources within a highly accessible service layer will pave the way to solving many of these issues. However, data virtualization isn’t a simple technology fix that happens overnight, or when a single vendor's solution is dropped into the data center. Rather, it is part of a strategy that the business and IT departments need to plan out together.

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