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DQX is a data quality framework for Apache Spark that enables users to define, monitor, and address data quality issues in Python-based data pipelines. It provides capabilities such as profiling, rule generation, anomaly detection, and flexible reactions to failed checks, supporting both batch and streaming data.
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