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

Standard Generation Rules

Standard Generation Rules

A standard generation rule is a global rule that applies a system-defined generation technique. A standard generation rule has one output column.
When you create a standard generation rule, you select the generation technique. You can define one generation technique in a standard rule and you can apply the rule to one column at a time. You can apply the rule multiple times to different columns.
You can use standard generation techniques to generate string, numeric, date, and binary datatypes. The techniques vary based on the datatype.
For example, you create a standard generation rule with the random date technique to generate birth dates. You can assign the rule multiple times in a project to generate birth dates in more than one column or you can use the rule in multiple projects.

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