The New Rules of Data Quality

The New Rules of Data Quality

Introducing a better way to manage data quality at scale with testing and observability.

There are two types of data quality issues in this world: those you can predict (known unknowns) and those you can’t (unknown unknowns). Here’s how some of the best data teams are taking a more comprehensive approach to tackling both of them at scale. For the past several years, data teams have leveraged the equivalent of unit testing to detect data quality issues. In 2021, as companies ingest more and more data and pipelines become increasingly complex, this single point-of-failure approach doesn’t cut it any more.

data-observability data data-engineering data-quality data-science

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