Table of Contents

Search

  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 Patterns

Metadata Patterns

A metadata pattern is a regular expression that identifies column names in a source. A metadata pattern can contain multiple metadata expressions.
A metadata expression can be a column name or part of a column name. For example, if you configure
.*Name*
as a metadata expression, column names such as Name, Employee_Name, and Organization_Name in the source appear in the search result.
A column name that matches any metadata expression in the pattern appears in the search results.
A Social Security number might have different column names. The following regular expressions are metadata expression to find Social Security numbers by column name:
.*SSN* .*SOCIAL* .*SECURITY*

0 COMMENTS

We’d like to hear from you!