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Data Masking Components: Email Dynamic


Email Dynamic

API Reference, CLR Reference (links)

Usage Instructions:


The purpose of the component is to mask email values with values that satisfy email rules and resemble original format.


Variation of Random Character Permutation Algorithm


The Masking Email Dynamic component expects data in format. It provides output in the same format, with .com domain. It provides consistency in the output, meaning given the same input, it will provide the same output. However, collisions are possible although highly unlikely. While it is not difficult to create unique emails using names and sequence numbers with the derived component’s string functions, the Email component provides a quick and dirty way to create consistent masked emails.

Usage Instructions:

1. Configure a source that contains the column with alphabetical and numeric characters. The data in the column may also include any other character that will be treated as a separator.
2. Drag and Drop Email Dynamic masking component, connect the source and the Email Dynamic component with the source's precedence constraint:
3. Now, the precedence constraint (the blue arrow) passes proper meta-data to the Email Dynamic component. If you click on constraint, you will see:
4. Now that the metadata for the Email Dynamic component exists, and values are passed into the data masking component, please open the component editor:
5. In the second tab, there are input columns. Please check-mark only one column, the one that you will be masking with Email Dynamic algorithm:
6. This will create an extra column with the prefix “Masked_”.
7. Create a connection manager for the destination and configure source component for the destination. In the connection manager, in the tab “Mappings”, specify that you want newly created Field_Masked to be a field replacing the original value. For that, just click on the available input columns, choose the masked value, and map to the “Available Destination Columns”
8. Now, all the configurations are complete for the valid values. You can run the package with the Email Dynamic Data Masking component, and see the results of data masking:

Error Handling

9. If, however, there are invalid values in the package's source, one would need to configure error handling. Invalid values are those that are not conforming to the rules of the entity. To handle invalid values, each data masking component has error handling precedence constraint. One needs to create error destination connection and connect red arrow (error handling constraint) with this destination. As the connection is made, one needs to configure the state of failure: “Fail”,”Ignore” or “Redirect”.
10. It is recommended that one re-directs the output into the error destination, so that later one be able to analyze and process data for quality purposes. The Email Dynamic components errors are the only ones not recommended for further processing as it is truly hard to break their format.
11. It is our suggestion that with Email Dynamic component one should not process erroneous data without further analysis at all.

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