Anomaly Detection for Data Quality and Metric Shifts at Netflix
Anomaly Detection for Data Quality and Metric Shifts at Netflix In the course of transforming, publishing and visualizing data, there’s risk of “bad data” creeping into your output at every turn, hurting data credibility and distracting teams from investigating real metric shifts. How does Netflix prevent bad data from causing bad decision-making? We use a variety of techniques to automate the bas
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