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

Create a Data Masking Policy

Create a Data Masking Policy

Design policies to mask specific types of data. A policy includes the data domains that describe the data that you want to mask. A policy does not contain any data source. You can apply a policy to more than one project in Test Data Manager.
Define data domains to group sensitive fields by column name or by the column data. Define patterns in the column name or the column data using regular expressions. A data domain also contains masking rules that describe how to mask the data.
To design a data masking rule, select a built-in data masking technique in Test Data Manager. A rule is a data masking technique with specific parameters. You can create data masking rules with mapplets imported into TDM.

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