Copy selected cells from Power BI to Excel with a custom table visual
Sometimes you only need a few cells from a Power BI report for a quick check, calculation, or follow-up in Excel. In this video, I demonstrate an Excel-style copy-and-paste workflow using Advanced Grid Table, a custom Power BI visual I developed. The workflow is straightforward: Select a range of cells in the visual. Copy the selection. Paste it into an Excel worksheet. This can be useful during report reviews and meetings when someone needs to work with a specific set of values. The demonstration uses the Advanced Grid Table custom visual. Watch the demonstration: Copy Selected Cells from Power BI to Excel Project on GitHub: Advanced Grid Table โ files and documentation When your report users move data into Excel, do they usually need the entire table or just a selected range?Show Values Inside a Power BI Donut Chart ๐ฏ August 2026
Power BI Donut Charts just got a useful upgrade. In the Power BI August 2026 update, you can now show a value directly in the center of a Donut Chart without needing to overlay a separate Card visual. Center value for Donut Chart (Generally Available) Donut charts can now display a value in the center. Enable the center value option and it shows up right in the middle. You control the details in the formatting pane: value format, display units, and font. You can add an optional label above or below the value, place an image above or below it, or change the background fill or image of the center. If you need something other than the total, just add a custom measure to the center value in the formatting pane. The center value stays in sync with your data. Filtering, cross-highlighting, drill-down, and selecting a slice all update it automatically. And because it lives inside the visual, it stays aligned when you resize the report, view it on mobile, or open it on a dashboard. It also works with screen readers. To add a center value, select your donut chart, open the formatting pane, and turn on Center value.Claude Built My Power BI Dashboard. Here's how.
I sketched a rough wireframe of a dashboard I wantedโno DAX, no data model, just a layout idea. Then I handed it to Claude AI connected to Power BI Desktop through MCP and watched it build the actual dashboard: creating the semantic model, writing every measure from scratch, and turning a static sketch into a working, interactive report. This is the wireframe-to-dashboard workflow in full โ how Claude reads a visual mockup, maps it to real fields and calculations, and produces DAX measures on its own without me writing a single line.
Creating a Solution Aware Power BI report using Dataverse
In this tutorial you'll learn all the steps to create a Solution Aware Power BI report. This new feature is one of the most important developments in the Power Platform in recent years. It allows us to perform application life-cycle management The video is supported by the blog at https://powerplatformlearn.com/2022/1... You can find this content and more at www.powerplatformlearn.academy We'll cover โ The finished product โ Why this is important โ Setup checks โ Power BI Region โ Environment configuration โ Simple solution with MD App โ Create and Publish a report โ Introduce report into solution โ Update the dataset parameters โ Refresh the report โ View the report โ Edit the report โ Import to new environment โ Update the parameters in Prod โ View the revised report watch?v=783LqVu9eGY
Fabric Monday 109: Identifying and Converting Direct Lake Type
Direct Lake now has TWO flavors โ and most people don't even realize it. But what if you inherit a semantic model you didn't build? How do you know which type it is? ๐ Identify which Direct Lake flavor a semantic model is using ๐ Convert from Direct Lake over SQL Endpoint to Direct Lake over OneLake No rebuild required. It's all in the TMDL. ? Which Direct Lake flavor are you using today โ and did you choose it deliberately? watch?v=T4DxjuqoynYACCRINT & ACCRINTM DAX Functions Explained | Power BI
In this video, Iโve clearly explained the ACCRINT and ACCRINTM DAX functions with practical understanding, focusing on how accrued interest is calculated in Power BI. If youโre working with financial data, bonds, or interest-based calculations, these two DAX functions are very important to master. ๐ Subscribe for more Power BI, DAX & Data Analytics content watch?v=BISX7Cpl-DILearn Git & GitHub from Scratch: Create an Account, Set Up a Repository, Upload & Download Projects,
In this video, you will learn step by step how to use Git and GitHub in an easy and clear way, even if you are a complete beginner. We start with the basics, such as creating a GitHub account, then move on to creating a repository, uploading your project files, and downloading ready-made projects. By the end of the lesson, you will also learn how to set up and write a professional README file to showcase your project in the best way. Video Content: Introduction to Git and GitHub How to create a GitHub account How to create a new repository How to delete a repository Step-by-step guide to uploading project files How to download an existing project from GitHub Writing a professional README to present your project effectively ๐ Suitable for: Complete beginners Full practical application Simplified and clear explanations https://linktr.ee/RufydaRahma watch?v=XO0LhC3RtAQPower BI Projects from Scratch: Design, Documentation, and Presentation
In this video, we talk about Power BI projects from start to launch โ how to develop your project idea, choose the right data, design a professional dashboard with appropriate colors and visual elements, and then document and present your project in a way that highlights your work as a data analyst. Key Topics: How to start a Power BI project idea Data sources and where to find suitable data Selecting and cleaning your data Designing and developing the dashboard Choosing colors and visual elements (Design Tips) Documenting your projects professionally How to present your projects to an audience or decision-makers Resources and Links Mentioned: Data interface design: https://www.linkedin.com/posts/data-projects-community_figma-the-collaborative-interface-design-activity-7342507453516849152-86VC Power BI project ideas: https://www.linkedin.com/posts/data-projects-community_datavisualization-dataanalytics-powerbi-activity-7342513550076145665-jlk1 Ready-to-use datasets: https://www.linkedin.com/posts/data-projects-community_popular-datasets-activity-7344016603010736128-lhDW ๐ฏ Suitable for: Beginner data analysts Anyone interested in learning Power BI practically Those looking to build a strong data analysis portfolio ๐ Follow the Data Projects community on LinkedIn for more: https://www.linkedin.com/company/data-projects-community/ My LinkedIn: https://www.linkedin.com/in/rufyda-abdelhadirahma/ watch?v=EVeEOAWVyq0&t=3044sMaster Window DAX functions in Power BI | ORDERBY, PARTITIONBY & MATCHBY Explained
In this video, I explain three powerful Window DAX functions that every Power BI developer should know: โ ORDERBY โ PARTITIONBY โ MATCHBY These functions unlock next-level analytics by helping you create ranking, running totals, segment-based calculations, advanced comparisons, and much more โ all with clean and efficient DAX. ๐๐ฑ๐๐๐ ๐๐ ๐๐ ๐ด๐๐๐๐๐: https://www.meetup.com/nextgen-data-aspirants-community/ ๐ฒ๐ฑ๐๐๐ ๐๐๐ ๐พ๐๐๐๐๐จ๐๐ ๐ช๐๐๐๐๐๐ ๐ณ๐๐๐: https://whatsapp.com/channel/0029VbB2EH33AzNVJEyA6L0r ๐ ๐ฑ๐๐๐ ๐๐ ๐๐ ๐ญ๐๐๐๐๐ ๐ช๐๐๐๐๐๐๐๐ : https://community.fabric.microsoft.com/t5/NextGen-Data-Aspirants-Community/gh-p/NextGenDataAspirantsCommunity If you enjoyed the video, donโt forget to LIKE, SHARE & SUBSCRIBE for more Power BI tutorials! #PowerBI #DAX #PowerBIDAX #WindowFunctions #ORDERBY #PARTITIONBY #MATCHBY #PowerBITutorial #PowerBITraining #DataAnalytics #BusinessIntelligence #PowerBIModeling #LearnDAX #PowerBIForBeginners #PowerBIAdvanced #MicrosoftPowerBI #DataAnalysis #NDAC watch?v=W712aZpuo2wFabric Monday 99: Direct lake and Mixed Mode
This is one of those features that exists before most people realize it exists. A very new capability in Microsoft Fabric now allows Direct Lake semantic models to run in mixed (composite) mode โ and that changes the game. Iโve just published a video where I show how to do it step by step. But hereโs why this matters ๐ โก Why combining Direct Lake + Composite Models is powerful ๐น Aggregations finally make sense with Direct Lake Pre-aggregated Import tables can accelerate high-level queries while keeping detail in Direct Lake ๐น Performance where it matters most Hot paths hit in-memory aggregations, cold paths stay in the lake โ best of both worlds ๐น More flexible modeling patterns Youโre no longer forced into a single storage mode decision for the entire model ๐น Scalability without duplicating everything Keep large fact tables in OneLake while selectively importing only what adds value ๐น A smoother transition path Ideal for evolving existing Import or Direct Lake models without redesigning everything The video focuses purely on how to implement this, but the implications go far beyond the demo. watch?v=gwmXwtVYwy8
