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. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

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 Model repository or from a source database.
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
Data Integration Service
passes the row and the column to the target without applying the condition.