VIDEO: How Data Virtualization Differs From Older Cloning Methods

Video produced by Steve Nathans-Kelly

Kellyn Pot'Vin-Gorman, Technical Intelligence Manager, Delphix, how data virtualization differs from older cloning methods during her Data Summit 2018 session, “Making Big Data Bite-Size with DataOps."

DataOps takes DevOps to the next level, recognizing that many DevOps projects have data integrated into them and requires that data to move at the same speed the rest of development and testing, Pot’Vin-Gorman explained.

"The way that data virtualization is a little different, is that we're not just virtualizing a lot of resources and sectioning it off and saying you get this piece, you get this piece, you get this piece. It's a little different," Pot'Vin-Gorman said. "Older cloning methods which are trusted by DBAs are kind of slow and archaic. It's very time consuming. We're making a full copy. So a lot of times we have to wait until infrastructure people give us extra storage. We have to wait until somebody has given us the okay to do so. There's all these different roadblocks. And that's why the cloud has done as well as it is in a lot of instances."

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Data Summit 2019, presented by DBTA and Big Data Quarterly, is scheduled for May 21-22, 2019, at the Hyatt Regency Boston, with pre-conference workshops on May 20.