The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hi @v-jingzhang
There is a slight change in the data structure can you please help me in resolving this
Current Database Structure:
Territory ID | Zone ID | Region ID | Marketing Manager ID | Territory Value | Zone Value | Region Value | Marketing Value | SKU ID |
1 | 11 | 111 | 1001 | 20 | 25 | 30 | 25 | 22 |
1 | 11 | 111 | 1002 | 30 | 35 | 40 | 35 | 23 |
2 | 11 | 111 | 1002 | 50 | 55 | 60 | 55 | 23 |
2 | 11 | 111 | 1001 | 60 | 65 | 65 | 65 | 22 |
3 | 22 | 111 | 1001 | 30 | 35 | 40 | 35 | 22 |
3 | 22 | 111 | 1002 | 40 | 35 | 40 | 35 | 23 |
3 | 22 | 111 | 1003 | 50 | 45 | 50 | 45 | 24
|
I have following users:
Territory ID | Email Id | |
1 | T1@gmail.com | |
2 | T2@gmail.com | |
3 | T3@gmail.com | |
Zone ID | Email ID | |
11 | Z1@gmail.com | |
22 | Z2@gmail.com | |
Region ID | Email ID | |
111 | R1@gmail.com | |
Marketing Manager ID | SKU ID | Email ID |
1001 | 22 | M1@gmail.com |
1002 | 23 | M2@gmail.com |
1003 | 24 | M3@gmail.com |
Desired Output: I have created single table with single value which will be filtered based on user | ||||
For | ||||
Territory ID | Email Id | |||
1 | T1@gmail.com | |||
Territory ID | Zone ID | Region ID | Marketing Manager ID | Value (This will come from Territory Value Column) |
1 | 11 | 111 | 1001 | 20 |
1 | 11 | 111 | 1002 | 30 |
For | ||||
Zone ID | Email ID | |||
11 | Z1@gmail.com | |||
Territory ID | Zone ID | Region ID | Marketing Manager ID | Value (This will come from Zone Value Column) |
1 | 11 | 111 | 1001 | 25 |
1 | 11 | 111 | 1002 | 35 |
2 | 11 | 111 | 1002 | 55 |
2 | 11 | 111 | 1001 | 65 |
For | ||||
Region ID | Email ID | |||
111 | R1@gmail.com | |||
Territory ID | Zone ID | Region ID | Marketing Manager ID | Value (This will come from Region Value Column) |
1 | 11 | 111 | 1001 | 30 |
1 | 11 | 111 | 1002 | 40 |
2 | 11 | 111 | 1002 | 60 |
2 | 11 | 111 | 1001 | 65 |
3 | 22 | 111 | 1001 | 40 |
3 | 22 | 111 | 1002 | 40 |
3 | 22 | 111 | 1003 | 50 |
For | ||||
Marketing Manager ID | SKU ID | Email ID | ||
1001 | 22 | M1@gmail.com | ||
Territory ID | Zone ID | Region ID | Marketing Manager ID | Value (This will come from Marketing Value Column) |
1 | 11 | 111 | 1001 | 25 |
2 | 11 | 111 | 1001 | 65 |
3 | 22 | 111 | 1001 | 35 |
And how do we do it on Direct Query Database ???
Hi @mohit_K ,
Could you tell me if your problem has been solved?
If it is, kindly Accept it as the solution. More people will benefit from it.
Or you are still confused about it, please provide me with more details about your table and your problem or share me with your pbix file from your Onedrive for Business.
Best Regards,
Stephen Tao
@Anonymous Thanks, I will check it once and let you know
Hi @mohit_K ,
Create an Email ID role, and write the following expressions in the four user tables respectively.
After publishing to Power BI Service, in the security of the dataset, add your email address in the user table. Note: The person or group added to the security needs to be within the organization.
Test result
You can view the creation content of my role in the attachment. But note that you need to replace the Email ID with the mailboxes of members in your organization, otherwise it will not succeed.
Best Regards,
Stephen Tao
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.