Deequ is a library built on top of Apache Spark for defining and calculating data quality metrics. It helps in automatically verifying data by suggesting checks based on the data and allows users to define custom checks for various data quality dimensions, such as completeness, consistency, accuracy, and validity. It is commonly used for data validation in ETL pipelines and machine learning workflows to ensure data reliability and accuracy. Deequ also integrates with AWS services, making it easier to use within AWS environments.
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