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

Data Patterns

Data Patterns

Data patterns are regular expressions that describe the format of source data in a data domain.
A data pattern can contain multiple data expressions. If any of the expressions match patterns of the data for a column, then the column belongs in the data domain. You can configure detailed regular expressions to identify data in columns.
For example, a Social Security number contains numbers in the following pattern:
999-99-9999
The following regular expression shows a data pattern that describes the format of a Social Security number:
[0-9]{3}-[0-9]{2}-[0-9]{4}