How can AI-driven algorithms enhance data quality checks in ETL testing?

  • By automating data quality checks and identifying anomalies
  • By eliminating the need for data quality checks
  • By focusing solely on quantitative data
  • By manual inspection of each data point
AI-driven algorithms enhance data quality checks by automating the process, identifying anomalies, and ensuring consistency in data quality. Automation improves efficiency and accuracy in identifying issues.
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