Refinery at Scale Modern analytics relies on data from myriad fragmented data sources. Experience tells us that big data sources aren’t always amenable to replicating and relocating when the data is distributed across multiple systems. Data virtualization delivers the scale to work effectively with big data sources by offering an alternative paradigm: move processing to the data. In other words, process the data where it resides and minimize the network traffic.

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