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. Plans and Workflows
  11. Monitor
  12. Reports
  13. ilmcmd
  14. Data Type Reference
  15. Data Type Reference for Hadoop

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.