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. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Glossary

Data Masking Task Flow

Data Masking Task Flow

To implement data masking operations, assign masking rules to columns in a source. Create a plan and add policies and rules to the plan. Generate a workflow from the plan to mask data in a target database.
The image shows the tasks that you can perform to mask sensitive data.
You can perform the following tasks related to data masking in Test Data Manager:
Create data masking rules
You can create a data masking rule and add the masking rule to a project. You can also add a masking rule to a data domain and add the data domain to a policy. Add the masking rule to a data domain, and add the data domain to policies.
Edit data masking rules
You can edit a data masking rule to change the rule parameters.
Assign data masking rules to columns
Use the masking rules within a project to assign to target columns. You can assign a masking rule or a policy to a target column. You can assign the masking rules to XML elements and attributes if you want to mask data from an XSD source.
Run a plan to mask sensitive data
Create a plan and add data masking components. To mask sensitive data, you must generate and run the plan.