Example 2

In this example a table is segmented based on values of a masked column. Some columns are masked. Primary key is not masked. This example can reflect a scenario where you have a lot of null values and you want to mask only non-null values.

Example table

Table Sales

Only CashierId, CustomerCardId and DiscountAmnt could be masked. Date will be skipped.
The table will be segmented, only records where CustomerCardId is not null will be taken - one record will be masked.

Steps

1. Create a data model on the BizDataX Portal.

2. Import Portal data into the BizDataX Package Executable project in the BizDataX Designer to create a data model in it.

   • Use the following settings:
     • Read-only for the primary key
     • Read-write for the column used for segmenting (eg. CustomerCardId)
     • Read-write for columns that will be masked
     • Skip for columns that will not be masked

3. Build the project to generate table masking activities and start working.

4. Check available BizDataX masking activities in the Toolbox, for example some activity from the BizDataX Primitives group, and create a masking workflow.

5. Additionally, use package steps and parameters in the masking workflow.

6. Update the handler settings based on the database used. See database handler page of the used database for more details.

• To configure a segmentation, check Fluent Handler API page where segmentation settings are listed.
  • The default handler for the example table is: Datasources.BizDataXDemo_data_source.dbo.Sales.Handle.WithBulk()
  • The modified handler for the same table should be: Datasources.BizDataXDemo_data_source.dbo.Sales.Handle.WithSegments().BySegments("{table}.CustomerCardId is not null").WithBulk()

7. The execute the created masking workflow, click Debug -> Start Without Debugging (or CTRL+F5). A console window will appear and, within seconds, the process will be done. Check the database to confirm.