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

Performing a Data Masking Operation

Performing a Data Masking Operation

Perform a data masking operation in Test Data Manager to mask sensitive data.
  1. Create a data masking rule.
  2. Create a project and import metadata into the project.
    Create different projects to work with XSD sources and relational sources.
  3. Optional. To use parameters in the plan, create parameters within the project or identify global parameters that you want to use.
    You can choose to import global parameters that you require into the project.
  4. Add the data masking rule to the project.
  5. Assign the masking rule to a target column. If the target is an XML file, apply the masking rule to an XML element or an attribute.
  6. Create a plan, add the data masking rule, and configure the source and target connections.
  7. Generate and run the workflow.
  8. Monitor the progress of the workflow.

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