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Hi all
I gather from few vidoes and blogs that it is possible to mask data using talend in a simple way using few masking related components.
What my requirement though is I want to be able to view unmasked data depending on user role/permission. Is this really possible in Talend?
I am using Redshift for Db.
Thanks
Harshal.
Hello,
Is your whole idea to mask data but keep a way to retrieve back the original data with user role/permission?
Best regards
Sabrina
@xdshi: Not sure if I understood your question but what I want to be able to do is if normal user logs in then he/she sees masked data whereas admin or someone with higher permission should see unmasked data.
Hello,
Thanks for your confirmation. We have redirected your mask data issue to talend DQ experts and will come back to you as soon as we can.
Best regards
Sabrina
That's awesome. Any timeline we are looking to hear back from them?
Hi Parikhharshal
Currently, we don't allow to unmask data after they have been masked.
that's something we're thinking about for our future roadmap though.
One possible thing with the actual tDataMasking component is to output the original data along with the masked data.
Then you could build a bidirectional mapping table between the original data and the masked data.
This mapping should be carefully secured but it would allow you to get the masked data from the original data and the reverse.
There may be several ways to do that. One possible way is by using the tMemorizeRow component https://help.talend.com/reader/rflY4_~uVcU8fbet7pa6Qg/AFbitblcOn~5QiQrw5PMSQ
Hope this helps
I cant seem to find this component (tDataMasking) in Big Data open studio, is it available there or in MDM?
Hi,
The masking components (like most of the Data Quality components) are not available in the free Open Studio. They are part of the Enterprise versions available through subscription.
You can have a look at the Talend Components documentation where everything is listed: https://help.talend.com/reader/PEtNf6RuyCZnH5XfH7jFow/jbsq8BiRGozMCA5I9cmH3w
Cheers,
Patrick
@ppeinoit : Thanks for the reply.