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

Case Insensitive

Case Insensitive

You can choose to configure a string key masking rule to not be case sensitive.
By default, a string key masking rule is case sensitive. This means that the rule considers an input character in uppercase and lowercase as different characters. Therefore, a successful masking task might change the case of a character but not the character. For example, a masking task might mask an input character "x" to "X."
To ensure that the masking rule considers the input character and case, choose the
Case Insensitive
option. The rule then considers an input character in uppercase and lowercase as the same character. Therefore it cannot mask an input character "x" to "X."
Source data might include the same data in different formats. For example, the data might contain a name in different ways in different tables:
  • John Brown
  • jOHN bROWN
  • john brown
  • JOHN BROWN
If you configure the rule to be case insensitive but do not convert the data to a uniform format, the task might mask the same character that occurs in different cases in the source differently in the target. In the example, instances of
john
cannot be masked to
JOHN
. However, if the data contains both
john
and
JOHN
, both instances might be masked to different values.
To ensure that a string key masking rule returns deterministic masked output for the same data regardless of format, you must convert the source data to a uniform format before a masking task applies the masking rule. Configure a preprocessing expression in the rule to convert all characters to the same format.

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