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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…

When:

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

Where:

Virtual Workshop

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