Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi,
I'd like undestand better how organizing and implementing data masking and data obfuscation in Fabric, preferably by a specific paper.
I report some considerations below:
A good and structured official paper should be very useful also to specify better the related glossary terms.
Any helps to me, please? Many thanks
Solved! Go to Solution.
Hi @pmscorca ,
Dynamic Data Masking is an advanced data protection technology that helps organizations protect sensitive information in their databases. It allows you to define masking rules for specific columns, ensuring that only authorized users can see the original data while hiding the data from others.
When using Data Masking in Fabric, there are prerequisites:
Then you can connect, configure, test, manage, and modify dynamic data masking rules and clean it.
For detailed steps and information about Data Masking, refer to the official documentation below:
Dynamic data masking in Synapse Data Warehouse - Microsoft Fabric | Microsoft Learn
How to implement dynamic data masking in Synapse Data Warehouse - Microsoft Fabric | Microsoft Learn
About data obfuscation:
Use Delphix Compliance Service to mask sensitive data in Data Factory for Microsoft Fabric Dataflow.
It explains how the service replaces sensitive data values with fictitious but realistic data values to reduce risks while ensuring data availability.
For detailed information and operations on using Delphix Compliance Services to perform data obfuscation in Data Factory, see the following official documentation:
Best Regards,
Yang
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
Dynamic Data Masking is supported by SQL analytical endpoint - https://learn.microsoft.com/en-us/fabric/data-warehouse/dynamic-data-masking
Does it mean such feature can be applied to Lakehouse delta tables via its SQL endpoint?
Hi @pmscorca ,
Dynamic Data Masking is an advanced data protection technology that helps organizations protect sensitive information in their databases. It allows you to define masking rules for specific columns, ensuring that only authorized users can see the original data while hiding the data from others.
When using Data Masking in Fabric, there are prerequisites:
Then you can connect, configure, test, manage, and modify dynamic data masking rules and clean it.
For detailed steps and information about Data Masking, refer to the official documentation below:
Dynamic data masking in Synapse Data Warehouse - Microsoft Fabric | Microsoft Learn
How to implement dynamic data masking in Synapse Data Warehouse - Microsoft Fabric | Microsoft Learn
About data obfuscation:
Use Delphix Compliance Service to mask sensitive data in Data Factory for Microsoft Fabric Dataflow.
It explains how the service replaces sensitive data values with fictitious but realistic data values to reduce risks while ensuring data availability.
For detailed information and operations on using Delphix Compliance Services to perform data obfuscation in Data Factory, see the following official documentation:
Best Regards,
Yang
Community Support Team
If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Fabric update to learn about new features.
User | Count |
---|---|
29 | |
15 | |
7 | |
6 | |
3 |
User | Count |
---|---|
48 | |
43 | |
15 | |
7 | |
6 |