Table of Contents

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  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Creating a Data Subset
  8. Performing a Data Masking Operation
  9. Data Masking Techniques and Parameters
  10. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

Advanced Masking

Advanced Masking

Use advanced masking when you want to apply multiple masking techniques to a column or when you want to configure multiple input and output columns in the same masking rule. You can mask all datatypes.
When you configure advanced masking, you configure the input columns, output columns, and variable columns. Variable columns are work fields that you can define to temporarily store data.
When you create the columns in the masking rule, the column names do not need to be the same as the column names in the source. When you assign the masking rule to columns, you must map the source columns to columns in the advanced masking rule.