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Automated Data Quality Management Through Machine Learning With Anomalo
Jan. 15, 2022, 9 p.m. | Tobias Macey
Data Engineering Podcast www.dataengineeringpodcast.com
Summary
Data quality control is a requirement for being able to trust the various reports and machine learning models that are relying on the information that you curate. Rules based systems are useful for validating known requirements, but with the scale and complexity of data in modern organizations it is impractical, and often impossible, to manually create rules for all potential errors. The team at Anomalo are building a machine learning powered platform for identifying and alerting on anomalous and …
anomalo data data quality machine machine learning management quality
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