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

Data Generation Task Flow

Data Generation Task Flow

To implement data generation operations, assign generation rules to target columns. Create a plan and add rules to the plan. Generate a workflow from the plan and run the workflow to generate data in the target database.
To create the components that you need in a data generation plan, perform the following high-level steps:
  1. Create generation rules that define the generation techniques and configure the parameters. Define default rules that generate data for columns that you do not assign a generation rule to.
  2. Create a project and import metadata into the project.
  3. Optional. Create parameters to use in the plan. You can use project parameters and global parameters in a data generation plan.
  4. If you want to restrict the generated values in a column based on values in another column, create a conditional constraint.
  5. Add generation rules to the project and assign the rules to columns in the project.
  6. Create a plan and add data generation components to the plan.
  7. Generate and run the plan. View the progress of the workflow in the
    Monitor
    view.

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