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

Blurring

Blurring

Configure blurring to return a random value that is close to the original value. For random masking of datetime or numeric data, blurring creates an output value within a fixed or percent variance from the source data value.

Date Blurring

To blur a datetime source value, select a unit of time to blur, a high bound, and a low bound. You can select year, month, day, or hour as the unit of time. By default, the blur unit is year.
For example, to restrict the masked date to a date within two years of the source date, select year as the unit. Enter two as the low and high bound. If a source date is 02 February, 2006, the
Integration Service
returns a date between 02 February, 2004 and 02 February, 2008.

Numeric Blurring

To blur a numeric source value, select a fixed or percent variance, a high bound, and a low bound. The high and low bounds must be greater than or equal to zero.
The following table lists the masking results for blurring range values when the input source value is 66:
Blurring Type
Low
High
Result
Fixed
0
10
Between 66 and 76
Fixed
10
0
Between 56 and 66
Fixed
10
10
Between 56 and 76
Percent
0
50
Between 66 and 99
Percent
50
0
Between 33 and 66
Percent
50
50
Between 33 and 99

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