TLDR Tech / Data
Data Shift vs. Data Drift
Data drift refers to gradual changes in the statistical properties of data (e.g., mean, distribution), while data shift is a sudden, more severe change often caused by upstream system changes, schema updates, or business events. Correctly distinguishing between the two is critical because they require different alerting strategies.
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