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Data virtualization is used to integrate data from multiple, disparate sources - anywhere across the extended enterprise - in a unified, logically virtualized manner for consumption by nearly any front-end business solution, including portals, reports, applications, search, and more. Data virtualization is typically deployed at two levels, often as a complement to other integration approaches such as consolidation or replication. At the project level, it can virtually integrate the data required in support of a specific application or use case. On an enterprise level, it can be implemented as common services or as a loosely-coupled data abstraction layer to share data across multiple solutions and use.
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