Power BI Weekly
Issue #346 - 24th February 2026
Another small edition this week, so I'll only highlight a couple of articles. First of all, Marc Lelijveld has shown how you can use the Power BI MCP server along with GitHub Copilot to Generate ERD diagrams for your Power BI Semantic Model, whereby a draw.io diagram is created which can be edited and easily reused across projects. The interesting thing here is that, at least initially, the tool assumes you already have a Power BI model. But what about the Entity Relationship Diagrams created during design phase (before even your reporting lakehouse/database has been created)? What tools do you all use to visualize and document your data models ahead of time? The beauty of GenAI means that even without the MCP Server that interacts with your semantic model, you could still use GitHub Copilot (or other GenAI tool) to generate an ERD, provided you've given it enough context about your semantic model (such as a data dictionary). But how do you create them? Do you use Mermaid diagrams? Visio? draw.io? Miro/Mural? Would love to hear what tools you prefer!
The second article I'd like to highlight is another by Jen Stirrup, who has written about style over substance in the blog Is Your Power BI a Spotlight or an Instagram Filter? Jen stresses the importance of not "sweeping issues under the rug", suggesting that identifying and addressing flaws in your E2E data pipeline is a necessary and natural part of a report's lifecycle, and that "touching up" reports often causes fundamental issues in your report's data model/visualizations, or worse, confusion in the end-user's interpretation of your reports. Worth a read!
🛠️ Data Prep
- Philipp Lenz (@lenz_philipp) talks about Parameterizing queries/data sources
- Ben Gribaudo (@bgribaudo) delves into Power Query: Choice Values for Power Apps/Dataverse Picklist and Boolean Columns
- Christopher Finlan (@cmfinlan) writes about From Demo to Production: ML-Enriched Power BI in Microsoft Fabric
- Gilbert Quevauvilliers (@GilbertQue) writes about Microsoft Fabric: Why Warehouse Beats Lakehouse by 233% in Speed and 278% in Capacity Savings
🧩 Data Modeling
- Chandeep Chhabra (@chandeep2786) shares 4 Essential Queries for Cleaner Power BI Models
- Marc Lelijveld (@MarcLelijveld) explains how to Generate ERD diagrams for your Power BI Semantic Model using GitHub Copilot
📊 Report Authoring and Interactivity
- On the SQLBI blog, Marco Russo (@marcorus) covers Displaying injury data on the human body by using Synoptic Panel in Power BI
- Reid Havens (@HavensBI) talks about AI-Powered Power BI: Building Custom Themes & Visuals with GitHub Copilot (with Zoe Douglas)
- Dane Belarmino talks about Selective Highlighting 🔍 Without Breaking Filters in Power BI (Taglish)
- On the Learning Science YouTube channel, Learning Science (@learn_scitech) talks about Markers for Azure Maps Visual in Power BI Power BI Azure Maps: Geo-Analysis Made Easy
🚀 Deployment, Security and Operations
- Chris Webb (@cwebb_bi) talks about Power BI, Parallelism And Dependencies Between SQL Queries In DirectQuery Mode
- On the Microsoft Fabric Café YouTube channel, Gbenga Adeyemo talks about Incremental Refresh in Microsoft Fabric
🌐 General
- On the Power BI Tips YouTube channel, Mike Carlo and Tommy Puglia (@PowerBITips) talk about Hiring the Report Developer - Ep. 503 - Power BI tips and describe Living in a Direct Lake World - Ep. 504 - Power BI tips
- Jennifer Stirrup writes The Saturday Strategy: Is Your Power BI a Spotlight or an Instagram Filter?
- On the SQL Server Central blog, Cludio Tereso writes about Real-time On-prem SQL Server Data in Excel – Over the Internet