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Data quality simplified
Data Quality: a term we've all heard time and time again. Implementing effective data quality at scale can be a challenge, especially for data teams who are handling a large variety of datasets. Here's a glimpse of how we tackle it at Samsara and how I think this can be leveraged elsewhere.
Data quality is something that I've always invested myself in along my career (mainly because it's inescapable). The tips I'll provide for handling DQ at scale should allow anyone to get it up and running with ease.
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