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

Data Masking Techniques and Parameters Overview

Data Masking Techniques and Parameters Overview

A data masking technique is the type of data masking to apply to a selected column. The masking parameters are the options that you configure for the technique.
The type of masking technique that you can apply depends on the datatype of the column that you need to mask. When you choose a masking technique, Test Data Manager displays parameters for the masking technique.
You can restrict the characters in a string to replace and the characters to apply in the mask. You can provide a range of numbers to mask numbers and dates. You can configure a range that is a fixed or percentage variance from the original number.
You can configure different masking parameters for a masking technique and save each configuration as a masking rule. The
Data Integration Service
modifies source data based on masking rules that you assign to each column. You can maintain data relationships in the masked data and maintain referential integrity between database tables.