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.
- Annotate atomic domain model objects with data
privacy information such as classification, privacy policy, and masking
algorithms.
- Specify annotated domain data types for columns
during physical data modeling.
- Create a diagram of the physical data model that
includes the tables and relationships that you want to export for
masking.
- Export annotated physical data models to an Optim interchange file.
- 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.
- If your product supports data model reports, generate
a report that demonstrates data privacy compliance.