Substitution masking replaces a column of data with similar but unrelated data. Use substitution masking to replace production data with realistic test data. When you configure substitution masking, define the dictionary that contains the substitute values.
The Data Masking transformation performs a lookup on the dictionary that you configure. The Data Masking transformation replaces source data with data from the dictionary. Dictionary files can contain string data, datetime values, integers, and floating point numbers. Enter datetime values in the following format:
mm/dd/yyyy
You can substitute data with repeatable or non-repeatable values. When you choose repeatable values, the Data Masking transformation produces deterministic results for the same source data and seed value. You must configure a seed value to substitute data with deterministic results.The Integration Service maintains a storage table of source and masked values for repeatable masking.
You can substitute more than one column of data with masked values from the same dictionary row. Configure substitution masking for one input column. Configure dependent data masking for the other columns that receive masked data from the same dictionary row.