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Reuse in a Data Science Environment
The company is focusing on fuature reuse and enabling teams to avoid kind of reinventing the wheel. The way we've approached it is we work with the data science community, who are building these data sets,. They bring them into our data catalogue, and then there's a way to certify them as top quality assets. We do also take some approaches, runnn analytics on our data science environments to look at query behaviors.