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 IBM® Optim to mask
your enterprise test data.
In a typical scenario, you complete the following steps to generate masked
test data.
- 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 export file.
- Open the Optim export file in IBM Optim 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.
- Generate a report that demonstrates data privacy compliance.