Virtual Views

Virtual Views in PlainID allow users to define customized views of their data without modifying the underlying data source or schema. Users can create logical views of their data by selecting and organizing specific columns from one or more data sources.

Additionally, Virtual Views support data manipulations on columns, such as combining data from multiple columns, casting data types and so on. They allow the customer to create a logical representation of its data that best fit the templates needed for policies, while maintaining the integrity of the original data sources.

For more information on how to use Virtual Views, see Managing Views and PIP Caching.