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

Primary Key Discovery

Primary Key Discovery

To discover possible keys in source tables, create a primary key profile.
To identify potential data quality issues, create a primary key profile that discovers non-unique rows. A primary key discovery profile is also useful when the primary key is a combination of columns that uniquely defines a row. Non-conforming rows might contain duplicate information. After you discover potential keys in a table, you can add the keys to the source table in a project.
For example, an Employee table contains an EmpID column. The value of the column is 100% unique. A primary key profile identifies the column as a possible primary key that you can add to the table in the project.

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