Data Virtualization. How to get your Business Intelligence Answers Today

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In the current dynamic business environment, data, both structured and unstructured, is growing exponentially. Organizations urgently need to utilize this data to make better-informed decisions. The usual solution is to put in place mechanisms to extract, transform and load the data into an enterprise data warehouse. Unfortunately, building an EDW, or even enhancing an existing […]

In the current dynamic business environment, data, both structured and unstructured, is growing exponentially. Organizations urgently need to utilize this data to make better-informed decisions.

The usual solution is to put in place mechanisms to extract, transform and load the data into an enterprise data warehouse. Unfortunately, building an EDW, or even enhancing an existing one, is a laborious and time-consuming process. Until it is complete, the business has no way to get an enterprise view of its data. DV technology can solve this type of problem. DV techniques allow disparate sources to be combined within a logical layer or “virtual database” that can be accessed by reporting applications, downstream (i.e. consumer) applications, and Online Transaction Processing applications. This paper looks at DV in action.

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