Table of Contents

Search

  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

Creating a Data Set Version by Reusing The Data Set Name

Creating a Data Set Version by Reusing The Data Set Name

You can create another version of a data set from a different plan. You must enter the same data set name to create the data set version.
Read the data set creation guidelines before you create a data set version.
  1. Click
    Projects
    and open the project from which you want to create the data set version.
  2. Click
    Execute
    and open the plan from which you want to create the data set version. Alternatively, create a plan. You must select
    Test Data Warehouse
    as the target connection.
  3. To create a version of a data set, enter the data set name in the
    Data Set Properties
    section. Data set names are not case sensitive. When you enter the name of a data set that exists in the test data mart, you create a version of the data set.
  4. Update the application name and application version if required.
  5. The tags added to the data set appear in the list of tags. You can add tags or delete the existing tags.
  6. Enter or edit the plan settings, and then click
    Finish
    to save the plan.
  7. To generate and run the workflow, click
    Actions
    Generate and Execute
    on the
    Plan Properties
    page.
You can view the job log messages in the
Monitor
page. When the job completes successfully, you can view the data set version in the
Data Sets
view.