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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.
AI named DQX in January 2026.