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Hi,
this blog post describes a solution to your need: https://aws.amazon.com/blogs/database/data-masking-using-aws-dms/
Best,
Didier
Hi Abhijeet,
I'm encountering a similar issue with AWS DMS (Database Migration Service). There are numerous articles about data masking using DMS, yet they all fail to mention that actual data transformation within columns is not feasible. The transformations are only applicable to column names, which raises the question of whether modifying or deleting columns truly constitutes data anonymization.
My specific challenge involves an email column. I intended to remove this column and add a new one with standardized email addresses like name.surname@example.com. I followed this guide: AWS DMS Customizing Tasks.
I attempted to set this add-column rule through the DMS console using the following JSON code: { "value": "FULL_NAME", "expression": "$FIRST_NAME||'_'||$LAST_NAME", "data-type": { "type": "string", "length": 50 } } However, I encountered an issue because the expression field rules cannot be executed via the console. I also tried defining the transformation rules in JSON, but errors occurred. Consequently, I am unsure if these rules are actually implementable through the console.
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Hi Didier, Thanks for answering my question but this blog post is not helping me to achieve my goal. Because it doesn't have any approach to mask the replicated column data in real time in same column. Do you have any other solution for this?