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

Data Sources

Data Sources

To perform data subset, masking, and discovery operations, you must import source metadata into the TDM repository. You can import sources from the PowerCenter repository or from a source database. To perform data generation operations, you must import target metadata into the TDM repository.
When you create a project, add one or more sources to the project. You can add more than one type of source to the project. For example, you can add a flat file source and a relational source to the project. You can create constraints to create relationships between the sources and apply filter criteria for data subset and data masking.
If the source data has a numeric column with precision greater than 28, you cannot apply a data masking or data subset condition to that column. The PowerCenter Integration Service passes the row and the column to the target without applying the condition.