Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability
DataKitchen
SEPTEMBER 21, 2023
The uncertainty of not knowing where data issues will crop up next and the tiresome game of ‘who’s to blame’ when pinpointing the failure. Data engineers ensure that all the ingested, processed, and transformed data culminates in actionable, reliable products—be it a predictive model, a dashboard, or a data export.
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