semantic model roles
1- the power bi desktop is connected to the microsoft fabric semantic model 1- I then updated the semantic model by adding roles 2- in the semantic model, RLS, I added users to the roles 4- back in the power bi desktop, when I click on view as roles, I do not see the roles or users added to the roles. Anything I am doing wrong? Thank you
Uploading images into Lakehouse: How to use them in Power BI
Hi Community, I need your help regarding images in MS Fabric. It was told that we can upload images, pdf, etc., into MS Fabric through Lakehouse. Well, I tried and I succefully saved one image in the Lakehouse files. I cannot upload it to "Tables", I think for obvious reasons. But I was not able to find a way to use this image in a Power BI report. When we create a report from the Lakehouse SQL endpoint or warehouse, we can only see the tables, not the files. I also tried to copy the file path, it did not worked. So, could you please give me a hint or a path so I can start using the images stored in my Lakehouse or Warehouse in a Power BI report? Thank you! Kind regards!Blob not found | IO Error
Hi Everyone, Yesterday, I added Data to my Power BI visual from DATA WAREHOUSE. Today, It is giving me a 404 Error. Blob not found. Also, Other Visuals are properly showing data from the Same Warehouse. My guess is there is something in Measure I'm using on this table. Total Employees = CALCULATE(COUNTX(FILTER(Emp_Personal_Data,Emp_Personal_Data[tm_dateofjoining]<=max(HRMS_DateTable[Date]) && (ISBLANK(Emp_Personal_Data[tm_dateofrelease]) || Emp_Personal_Data[tm_dateofrelease] > max(HRMS_DateTable[Date]))),(Emp_Personal_Data[Full Name])),CROSSFILTER(Emp_Personal_Data[tm_dateofjoining],HRMS_DateTable[Date],None)) This is the measure I'm using. Please help me out here. THis is happening again and again.Lakehouse: Slow data transfer speeds when loading data into Power BI
Hi all! I've got this Lakehouse that I'd like to use as a source for a PBI report, but I run into slow data transfer speeds that prohibit data refresh, both in Desktop and in the service. My report use data from MS Defender. The Lakehouse consist of daily snapshots of approx. 3.5 million rows, distributed over 5-6 tables. I've currently got data for 40+ days. Loading data from the Lakehouse to Desktop for a single day (3.5 million rows) takes 1270s. As a comparison, loading the same amount of data from the Defender API into Desktop takes 35s. The refresh in the service runs for exactly one hour before failing when the connection is closed, likely by Fabric. I've enabled incremental reload for the dataset, but I need to perform a full fresh after I've published the dataset; it's infeasible to load all data into Desktop, as this would require 10-12h, using the load time for a single day as benchmark. I’ve made the refresh as parallel as possible by increasing the relevant settings in Desktop, and some of those should be carried over to the service. Any ideas about the cause the slow refresh speeds? Error message during refresh: [ValidateMarkupTags][ccon]DataSource.Error: An error happened while reading data from the provider: '[ccon]Invalid operation. The connection is closed.[/ccon]'. DataSourceKind = [ccon]SQL[/ccon]. DataSourcePath = [ccon]xxxx.datawarehouse.pbidedicated.windows.net;LH_LH_CUR[/ccon]. [/ccon]. The exception was raised by the IDataReader interface. Please review the error message and provider documentation for further information and corrective action. Thanks!
Lakehouse: give different access to files/tables to different users
Hi to all, not sure if this is the right place. I'd like to understand if it's possible or is in road-map to give different access to files or tables available in a Lakehouse to different users. At the moment from what I can read here it's not possible, but seems a bit strong: https://learn.microsoft.com/en-us/fabric/data-engineering/workspace-roles-lakehouse So each users can see every table and file in a workspace. And if a user is more than a viewer has all CRUD operations on each element. How can we segregate? Only by creating more workspaces/Lakehouses? Best regards Daniele Tiles
