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

Apply Generation Rules to a Data Domain

Apply Generation Rules to a Data Domain

You can assign one or more data generation rules to a data domain. When you assign a generation rule to a data domain, the columns in the data domain receive the data generation rule when you configure data generation.
TDM lists the preferred data generation rules for a data domain. You can edit the list or add another generation rule.
When you add data generation rules to a data domain, you can enable one of the rules to be the default rule. The default rule is applicable to all columns in the data domain. To change a default rule, you must edit the data domain and enable the default rule that you want. You can also apply more than one generation rule to a data domain.
For example, an organization has a data domain called Date_of_Birth. The Date_of_Birth data domain describes the columns that contain birth dates of the customers. The organization can use the date random generation rule to generate birth dates. The date random generation rule is the default rule. The organization applies a date sequence generation technique to generate the birth dates of customers in a different table. The date sequence generation rule is a different preferred generation rule in the data domain.

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