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Tackling data quality issues, 5 pillars of data observability, from management consultant to CEO of Monte Carlo - Barr Moses -The Data Scientist Show #062
The Data Scientist Show
The Importance of Data Observability
Most data teams spend anywhere between 30 to 80% of their time on firefighting data issues. In those instances for companies, it's often times easier to actually work with a solution that's off the shelf. And so I think what we're seeing is if you already invested in a data lake, a data warehouse, an ETL and a BI, you might as well have a data observability solution.
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