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    As a data scientists we get to hear the saying “Garbage in Garbage out” all the time. This might be from our comrades or the DBAs that maintain much of the data we receive. Somehow, this tends to feel more like teams throwing data quality issues over the fence. Rather than developing methods to improve data. No one really says too much about how to keep your systems clean. It is even harder to ...

    @ PGConf Local: Seattle [PgConf.US]
    Ben Rogojan
    Data Science