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  1. Preface
  2. Data Profiling
  3. Profiles
  4. Profile results
  5. Tuning data profiling task performance
  6. Troubleshooting

Data Profiling

Data Profiling

Insights

Insights

Insights is a method for discovering data quality issues in your data. The issues can range from anomalous data values to complex inconsistencies. Insights in
Data Profiling
automates the process to detect data quality issues.
The CLAIRE™ artificial intelligence engine provides insights and generates recommendations for your data that you can approve or reject. CLAIRE can run automatically on profiles and display recommendations that enable you to detect data quality issues. If you approve the recommendations, the
Data Quality
and
Data Profiling
services automatically create data quality rules and apply them to your profile to detect the issues.
Insights are available for all source objects that support profiling, except for Avro, Parquet, and JSON source objects that include hierarchical columns.

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