DataOps Observability: Taming the Chaos (Part 2)
DataKitchen
OCTOBER 25, 2022
It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables. It’s not just a fear of change.
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