Databand Blog Data Anomaly: Types, Causes, Detection, and Resolution
A data anomaly, also known as an outlier, is an observation or data point that deviates significantly from the norm, making it inconsistent with the rest of the dataset. The post Data Anomaly: Types, Causes, Detection, and Resolution appeared first on Databand.
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Databand is a New York-based data observability platform that offers solutions such as pipeline logging, metrics tracking and data quality monitoring for businesses.
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