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The data virtualization paradox indicates as much about the current data landscape as it does the needs of the modern enterprise. On the one hand, it hasn’t necessarily gone anywhere or, aside from the inclusion of a couple key features, hasn’t deviated from its chief value proposition of providing an abstraction layer of distributed data assets.

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