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Data virtualization and data fabric architectures are two approaches data-driven organizations use to get value from data quickly and to support new business requirements. Both approaches deliver agile, self-service, and real-time insights across data silos. With this brief, enterprise architects gain a clear understanding of the differences between the two, the key factors to consider in making a choice for one over the other as well as the use cases organizations typically deploy for each concept.

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