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

User Guide

User Guide

Creating an Advanced Masking Rule

Creating an Advanced Masking Rule

Create an advanced masking rule to combine more than one masking technique or to mask multiple columns.
  1. To access the
    Policies
    view, click
    Policies
    .
  2. Click
    Actions
    New
    Masking Rule
    .
    The
    Rule Wizard
    appears.
  3. Enter a name and optional description for the rule.
  4. Select the Advanced masking rule.
  5. Click
    Next
    .
  6. In the
    Input Columns
    section, click
    Add New
    .
    The
    Add Column
    dialog box appears.
  7. Enter the column properties, such as the name, datatype, precision, and scale. Select whether the column is mandatory to assign to a data source in all projects.
    You cannot enter masking properties for input columns.
  8. Click
    OK
    .
  9. To enter more input columns, click
    Create Input Column
    in the
    New Masking Rule
    dialog box.
  10. In the
    Variable Columns
    section, click
    Add New
    .
  11. Enter an expression, a masking rule, or a dependent column for each variable column that you define. If you apply a masking rule, configure the input column to create the variable column from.
  12. Click
    OK
    .
  13. In the
    Output Columns
    section, click
    Add New
    .
  14. Enter an expression, a masking rule, or a dependent column for the output column.
  15. Click
    OK
    .

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