Table of Contents

Search

  1. Preface
  2. Introduction to Test Data Management
  3. Test Data Manager
  4. Projects
  5. Policies
  6. Data Discovery
  7. Data Subset
  8. Data Masking
  9. Data Masking Techniques and Parameters
  10. Data Generation
  11. Data Generation Techniques and Parameters
  12. Data Sets
  13. Plans and Workflows
  14. Monitor
  15. Reports
  16. ilmcmd
  17. tdwcmd
  18. tdwquery
  19. Data Type Reference
  20. Data Type Reference for Test Data Warehouse
  21. Data Type Reference for Hadoop
  22. Glossary

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.