fabric
11 TopicsCustom JSON theme not applying white fill to new shapes in Power BI
I’ve created a custom Power BI JSON theme where I set "shape": { "*": { "fill": "#FFFFFF" } } so that shapes should default to white. However, when I add new shapes after applying the theme, they don’t appear white they still use Power BI’s default fill. Existing shapes also keep their manual formatting. Can anyone explain how theme JSON settings for "shape" are applied to new visuals, and whether there’s a reliable way to force new shapes to respect the white fill defined in the theme?1.2KViews1like10CommentsSend Email using Python /PySpark Notebook
Hi Team, I would like to send email when my Notebook fails with any errors, which I am appending into "error_data" list; I want to do in Notebook and schedule that Notebook, so that if any error within Notebook execution, I will get an email Notification; I want to just do with Notebooks (Pipelines won't be required); and won't be needing any sender email; I just need to give receiver email. Any assistance on this will be highly helpful. Thanks in advance, AshwathSolved1.7KViews0likes4CommentsPower BI dynamic visualizations
We have a predefined list of columns (e.g., Col1 to Col50) from which users can select multiple columns. The report includes 10 table visualizations, and each one should display data from one of the selected columns. If the user selects more than 10 columns, only the first 10 selected columns should be used — each column should be mapped automatically to one of the 10 table visualizations. Example: If the user selects 15 columns out of the available 50, only the first 10 selected columns will be displayed across the 10 table visuals, with each table showing one selected column. Approach followed : Used parameter slicer to select the column list where user can select multiple columns. Able to get the first 10 selected columns using the measure but unable to map columns dynamically to the tabular visualizationsSolved2.6KViews0likes18CommentsUser Security Issues with Semantic Model From Mirrored Database
We are using Fabric Mirrored Databases. With the mirrored database, I have the SQL analytics endpoint. In the endpoint, I've created a view. I created a semantic model over the view, called DocuSignData. All of these artificats live in a workspace called analytics. I created a report over the DocuSignData semantics model, and published the report to a workspace called Division. My user has access to the Division workspace, has access to the report, and I gave him direct access to the DocuSignData semantics model in the Analytics workspace; he has Read, Build. He is able to open the report. But he is not able to see the data. For each visual, he sees Does anyone know what is causing this, and why we would be able to open the report, and not see the data? We were intentionally hoping to not give access to the mirrored database and SQL analytics endpoint - our users are not technical, and just want the report. Summary: Analytics Workspace: Mirrored Database, SQL Analytics Endpoint, View, Docusign Semantic Model Division Workspace: Report over Docusign Semantic Model Users has access to Docusign Semantic Model, Division Workspace, and DocuSign Report.Solved903Views0likes4CommentsAccess Denied Issue with Azure Data Lake Gen2 Storage in Microsoft Fabric Portal
Hello, I am experiencing an access issue when trying to connect my Azure Data Lake Gen2 storage account through the Microsoft Fabric administration portal. I am receiving an "Access Denied" message when attempting the connection. As far as I know, my account should have the necessary permissions, but there seems to be an authorization or configuration issue. I would appreciate any help in resolving this issue. Best regards, RP1KViews0likes2CommentsMicrosoft Fabric for Azure Gov/GCCH
When is Fabric coming to Azure Gov and GCCH? Everytime this has been asked publicly, including the Ignite conference, the same answer has been given that details would come as soon as Fabric was in GA. Now that it is in GA, has there been any mention as to when we might expect it?7.7KViews1like8CommentsMS Fabric Incremental loading
I need help to understand the best practices for Incremental loading with AZURE and loading into Data Factory. I beleive there is two methods behind my use case but want to understand the route I should take and explore my options Use case: I'm in a smaller organization ( Around 400 people) and we want to build a central location for a reporting platform solution. We use Salesforce and QAD as our ERP. QAD is a little old but we are still able to connect to azure through ODBC. How and what prinicples should I be following for loading data from our ERP enviornment on a incremental cadence? Based off my understadning and knowledge, Should I (1) Use the copy data pipeline and use fucntions/ activities to update the table? how would I scheudle the job? How would this take into account for a heavy volume table? or (2) use notebooks throughout this process and set a datetime column as a water mark value to help with updates? How would I go around this method? I would apprecaite any information on how to handle this and best practices.... I do not have a SQL server available which I know which would help for the control table feature. Any suggestions, thanksSolved6.6KViews0likes1CommentMicrosoft Fabric - Lakehouse Explorer Files
Hi Community, I"ve noticed that uploading a csv file in my case to the Lakehouse Explorer does not show the uploaded files in the expanded files section. I've refreshed multiple times and the file never shows up. However, you can still use it and reference the file in spark notebooks. Not sure if anyone else is experiencing this. Thanks861Views0likes1Comment