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. Data Type Reference
  21. Data Type Reference for Test Data Warehouse
  22. Data Type Reference for Hadoop
  23. Glossary

Define Data Masking and Data Subset Operations

Define Data Masking and Data Subset Operations

To define data subset operations, define the tables that you want to include in the subset database and the relationships between the tables. To perform data masking operations, create a plan to run the masking operations. Add policies for masking the data. You can also add rules that are not in policies.
Perform the following tasks in Test Data Manager to define the data masking and data subset operations:
  1. Create entities, groups, and templates to define the tables that you want to copy to the subset database. An entity defines a set of tables that are related based on physical or logical constraints. A group defines a set of unrelated tables. A template is an optional component that contains the entities and groups.
  2. Assign data masking rules to columns in the data source.
  3. Create a data subset plan, and add the entities, groups, and templates to it. For each column in a parent table, you can define criteria to filter the data.
  4. Create a data masking plan and assign the policies and rules to the plan that you want to apply.
The TDM Server stores projects, entities, groups, templates, and plans in the TDM repository. When you generate and run workflows from plans, the Integration service runs the workflows and loads the data into the target database.