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. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Data Sets
  13. Plans and Workflows
  14. Monitor
  15. Reports
  16. ilmcmd
  17. tdwcmd
  18. tdwquery
  19. Data Type Reference
  20. Data Type Reference for Test Data Warehouse
  21. Data Type Reference for Hadoop
  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.