
Even in the age of sophisticated AI, “Garbage in, garbage out” still holds true – you can’t get good results from bad data.
I’m excited to announced that my second course for LinkedIn Learning on Data Quality Testing just got published! It covers the foundations of data quality and why it’s so important, and deep dives into testing with Great Expectations (GX), a free and open source framework.
As a former engineer at GX and co-author of the official tutorial in the GX documentation, I’m uniquely positioned to teach this class from an insider perspective.
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