Data Observability and Monitoring with DataOps
DataKitchen
MAY 10, 2021
One important note is that shiny new observability tools are not required in order to achieve high levels of data observability. Before we talk about winning the war against data and analytics errors, let’s review some fundamental DataOps principles: Avoid manual tests. And the worst part – data errors take the fun out of data science.
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