Where Should Data Quality Sit? It Depends.
MAD Data: An ML, AI, and Data Podcast by Databand - En podkast av Databand
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Data quality is universally important to data teams but where data quality checks should sit along the data process depends on your business use case. Netflix Sr. Software Engineer (Data Pipelines), Vivek Kaushal, shares his experience on the differences in data quality criteria from his time at Apple, Amazon, and now at Netflix.
