Detecting and handling __________ values is a crucial part of managing data anomalies in ETL.

  • Default
  • Missing
  • Null
  • Placeholder
Managing anomalies in ETL involves detecting and handling null values effectively. Null values can indicate missing or undefined data, and addressing them appropriately is essential for data quality.
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