As demand for data grows, organizations need to shorten time-to-value by accelerating data engineering efforts. Most current approaches are too slow and costly, they cause reinvention, and they can lead to inconsistent data. Data virtualization, in contrast, provides an agile approach to creating data products. With data virtualization, data products can be governed in one place and provisioned to consumers without replication. Data virtualization is an excellent foundation for modern distributed data architecture and use cases.
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