AI/ML can be applied for ________ in ETL, enabling more sophisticated data anomaly detection.

  • Anomaly Detection
  • Quality Assurance
  • Transformation
  • Visualization
AI/ML can be applied for Anomaly Detection in ETL, enabling more sophisticated identification of irregularities or unexpected patterns in data. This enhances the accuracy of testing and ensures data quality.
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