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

User Guide

User Guide

Metadata and Data Patterns for Data Domains

Metadata and Data Patterns for Data Domains

A data pattern and a metadata pattern are regular expressions that you configure to group columns into a data domain. Use regular expressions to find sensitive data such as IDs, telephone numbers, postal codes, and Social Security numbers in the source data.
A regular expression is a text string that describes a search pattern. A regular expression provides a way to match strings of text or patterns of characters in the source data.
A data domain expression can contain data expressions and metadata expressions. A data expression identifies data values in a source. A metadata expression identifies column names in a source. When a data domain contains multiple expressions, any column name or column value that matches an expression in the pattern appear in the search results.

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