Table of Contents

Search

  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 Generation Techniques and Parameters Overview

Data Generation Techniques and Parameters Overview

A data generation technique defines how you want to generate data in a column. A generation parameter is an option that you configure for the technique.
The type of generation technique that you can apply depends on the datatype of the column that you need to generate. When you choose a generation technique, Test Data Manager displays parameters for the generation technique.
Some generation techniques are available only for ad hoc generation rules. The generation techniques that you can select to create a rule can change when you create an ad hoc generation rule.
You can create generation rules that create random strings, use data from a dictionary or set of values, or that create data based on a sequence that you define.