Use Personally Identifiable Data in a Transformation Map

You can find Personally Identifiable Information in a Transformation Map, to mask this data.
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You can find Personally Identifiable Information in a Transformation Map, to mask this data.
Follow these steps:
  1. Select 
    Projects, Transformation Maps
     to open the 
    Transformation Maps
     dialog.
  2. To load your data sample from the CSV or Excel file, click the Import SDM CSV/XLS icon and import the file to the map.
  3. To filter your data sample, ensure that the tables you want to search are highlighted with a red square in the tree structure.
  4. You can then select your filtering criteria from the drop-down list in the top-right corner of the dialog.
     The
    Contains Values from Seed List
    filter lets you use CA TDM to find the sensitive data you need to mask from your seed tables. This ensures that you uncover all potentially sensitive records. However, it is recommended that you do not perform this filter for all tables at once to enable better performance.
    For more information about all the filter options, see Filter Options for Transformation Maps.
  5. Select the 
    Contains Values from Seed List
     filter.
    The 
    Select Required Seed List
     dialog opens.
  6. Select the required seed list and save your changes.
  7. After you select your criteria, click the filter icon to perform the filtering.
    All the columns within the specified tables, which meet or contain potentially similar data, are displayed.