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. 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

Creating the Variable Columns

Creating the Variable Columns

Create variable columns in the advanced masking rule.
  1. Create a variable column to shuffle AddressLine3 based on ZIP. Click
    Create Input Column
    .
    The
    Add Column
    window appears.
  2. Enter the following general properties:
    • Column name. Enter v_AddressLine3.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  3. Select the masking rule masking property. Configure the following masking properties:
    • Condition. Leave blank.
    • Rule. Select the shuffle rule that you created in Step 2.
    • Override Properties. Select None.
    • Lookup column. Select i_ZIP.
    • Input column. Select i_AddressLine3.
    The following image shows the v_AddressLine3 column properties:
    The left pane shows the general properties and the right pane shows the masking properties for the v_AddressLine3 variable column.
  4. Click
    OK
    .
    The v_AddressLine3 variable column appears in the list of variable columns.
  5. Create a variable column to mask AddressLine2 based on the masked value of AddressLine3. Click
    Create Input Column
    .
    The
    Add Column
    window appears.
  6. Enter the following general properties:
    • Column name. Enter v_AddressLine2.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  7. Select the dependent masking property. Configure the following masking properties:
    • Input column. Select v_AddressLine3.
    • Dictionary column. Select i_AddressLine2.
    The following image shows the v_AddressLine2 column properties:
    The left pane shows the general properties and the right pane shows the masking properties for the v_AddressLine2 variable column.
  8. Click
    OK
    .
    The v_AddressLine2 variable column appears in the list of variable columns.
  9. Create a variable column to mask AddressLine1 based on the masked value of AddressLine3. Click
    Create Input Column
    .
    The
    Add Column
    window appears.
  10. Enter the following general properties:
    • Column name. Enter v_AddressLine1.
    • Column type. Select Variable.
    • Datatype. Select String.
    • Precision. Select 10.
    • Scale. Select 10.
    • Mandatory. Select the check box.
  11. Select the dependent masking property. Configure the following masking properties:
    • Input column. Select v_AddressLine3.
    • Dictionary column. Select i_AddressLine1.
  12. Click
    OK
    .
    The v_AddressLine1 variable column appears in the list of variable columns.

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