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

TDM Process

TDM Process

Run a profile against source data, create a subset of the data, and mask the subset data.
The TDM process includes the following high-level steps:
  1. Create policies that define the types of data you want to mask and the rules that you might use to mask the data.
  2. Create a project and import data sources.
  3. Optionally, discover information about the source data. Run profiles for data and metadata discovery to discover primary keys, entities, and data domains.
  4. You can choose to create parameters at a global level to use in plans across Test Data Manager, or to create parameters within a project for use in the project. You can create criteria, connection, and owner parameters. Use parameters in plans to create test data on demand by modifying parameter values instead of editing the plans.
  5. Define data subset operations and data masking operations. Define the tables that you want to include in the subset database and the relationships between the tables. Assign data masking rules to columns in the source data.
  6. Define data generation operations. Define the tables that you want to include and assign data generation rules to columns in the target table.
  7. In addition to the target connection, to directly copy flat file results to an HP ALM server, enter the test tool integration properties in the plan.
  8. To store data in the test data warehouse, select the test data warehouse as the target in the plan.
  9. Generate and run the workflow for data masking, data subset, or data generation.
  10. Monitor the workflow.

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