Table of Contents

Search

  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. Data Generation
  11. Data Generation Techniques and Parameters
  12. Working with Test Data Warehouse
  13. Analyzing Test Data with Data Coverage
  14. Plans and Workflows
  15. Monitor
  16. Reports
  17. ilmcmd
  18. tdwcmd
  19. tdwquery
  20. Appendix A: Data Type Reference
  21. Appendix B: Data Type Reference for Test Data Warehouse
  22. Appendix C: Data Type Reference for Hadoop
  23. Appendix D: Glossary

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.