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  1. Abstract
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  3. Implementing Data Masking and Data Subset with IMS Unload File Sources

Implementing Data Masking and Data Subset with IMS Unload File Sources

Implementing Data Masking and Data Subset with IMS Unload File Sources

Step 8. Define Data Masking Rules and Policies

Step 8. Define Data Masking Rules and Policies

Use data masking to replace source data in sensitive columns with realistic test data for non-production environments. When you create data masking rules, you define the logic used to replace sensitive data. To specify the sensitive columns that you want to mask, assign data masking rules to source columns and policies.
A policy is a collection of data masking rules. When you assign rules to policies, you can assign multiple source columns to the data masking rules. You can also assign a rule directly to a source column. You can assign data masking rules based on the datatype of the source columns.
Complete the following high-level steps to define policies:
  1. Create data masking rules.
  2. Define data domains to describe which columns can receive the same masking rules.
  3. Assign the data masking rules to the data domains.
  4. Create a policy and assign the data domains to the policy.

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