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Moving data, transforming data types, taking small samples so they’ll fit in your sandbox – these are all things every data scientist puts up with as routine. And when you’re finished, a data engineer has to build full production pipelines to reproduce all that work at scale. It can be months or a year or more before the company sees benefit from your work. But what if you could leave all the data where it is and analyze it in…


Wednesday, February 15, 2023 8:00AM - 11:00AM America/Los Angeles


Virtual Workshop

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