Generating masked test data to protect data privacy

Data masking is used to ensure data privacy in non-production environments for purposes such as software development and testing, software user training, or data mining and research. You can use this product with the IBM® Optim™ product to mask your enterprise test data.
In a typical scenario, you complete the following steps to generate masked test data from a physical data model.
Tip: You can also choose to generate masked test data when you are copying data objects in the Data Source Explorer.
  1. Annotate atomic domain model objects with data privacy information such as classification, privacy policy, and masking algorithms.
  2. Specify annotated domain data types for columns during physical data modeling.
  3. Create a diagram of the physical data model that includes the tables and relationships that you want to export for masking.
  4. Export annotated physical data models to an Optim interchange file.
  5. Open the Optim interchange file in the IBM Optim product and use the file to create a script that generates masked test data from a source database and inserts the data into a target database.
  6. If your product supports data model reports, generate a report that demonstrates data privacy compliance.

Feedback