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Save yourself hours of work with User Defined Functions (UDFs)

Check out these first steps. Full UDF training coming in 8 days 🙌🏻

Leave your email and get a special offer

#powerbi #udfs #userdefinedfunctions #data #analytics

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Don’t spend months preparing for PL-300.

Our Power BI training helps you get exam-ready in less than 2 weeks.

Try 3H free today ✅

#powerbi #pl300 #analytics #data

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APEXMIS = Real-Time Project Intelligence 🚀

✔ Power BI-driven dashboards
✔ Live EPC project tracking
✔ Planned vs Actual variance visibility
✔ KPI & performance health monitoring
✔ Executive-ready insights

Read more : epcproman.com/products/ape...

#APEXMIS #PowerBI #EPC #MIS #DataDriven

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Power BI vs Tableau | Which Tool to Learn First Compare Power BI vs Tableau for 2026. Learn which data visualization tool suits your career goals, salary potential, and industry demand.

Power BI vs Tableau in 2026 — which should you choose?

Power BI is beginner-friendly & great with Microsoft tools, while Tableau excels in advanced visuals & data storytelling.

Find out which fits your career 👇
alifbyteedu.com/power-bi-vs-...

#PowerBI #Tableau #DataAnalytics

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Microsoft Fabric, taking over orphaned deployment pipelines Last week, we ran into an issue where deployment pipelines are owned by a person who no longer works for our organisation. This meant we could not access the deployment pipelines owned by this account. API The way to recover them is to use API's. At first, we all thought that using the Fabric API's would work, but they didn't. After asking around, we found out that we should use the Power BI API's.

Blog alert!

This time on taking over the ownership of an orphaned deployment pipeline using PowerShell.

#MicrosoftFabric
#DeploymentPipeline
#API
#PowerShell
#PowerBI

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What Is a Power BI MCP Server? (Explained for Beginners) If you are new to Power BI and you hear the term “Power BI MCP Server”, it may sound very technical and confusing. Let’s simplify it. Imagine this situation: * You open Power BI. * You build reports. * You create measures using DAX. Now imagine instead of writing DAX manually, you simply type: “Create a measure for Total Sales for the last 30 days.” And it automatically does it for you. That ability, where AI can directly talk to your Power BI model, is possible because of something called a Power BI MCP Server.   Let’s understand this slowly. Step 1: First Understand the Problem Today AI tools like: * GitHub Copilot * ChatGPT * Other AI assistants Can answer questions. But they don’t automatically understand: * Your Power BI model * Your tables * Your measures * Your relationships They don’t know your dataset structure unless you manually explain it. So the problem is: * How can AI directly talk to Power BI models safely and in a structured way? That’s where MCP comes in. Step 2: What Is MCP? MCP stands for: Model Context Protocol Don’t worry about the big name. In simple words: * MCP is a standard communication method that allows AI tools to talk to software systems in a structured and secure way. Think of it like: * REST API → For applications * SQL → For databases * XMLA → For semantic models And now: MCP → For AI interacting with systems Step 3: So What Is a Power BI MCP Server? A Power BI MCP Server is a special service that allows AI tools to: * Connect to your Power BI semantic model * Read model structure * Create or modify measures * Rename columns * Run DAX queries * Answer business questions * Validate calculations All using natural language. Instead of: * You → Writing DAX * You → Manually updating model It becomes: * You → Ask in plain English * AI → Talks to Power BI through MCP * Power BI → Executes safely Two Types of Power BI MCP Servers Microsoft currently provides two types. Let’s explain both in beginner language. Modeling MCP Server (Local) This is mainly for developers. It helps AI: * Create tables * Create measures * Rename columns * Update relationships * Validate DAX Example: * You type: “Rename all revenue measures to follow proper naming convention.” AI: * Connects to your model * Identifies measures * Renames them This works on: * Power BI Desktop models * Fabric semantic models You install it locally (usually through VS Code). Remote MCP Server (Cloud Based) This one is mainly for querying. It allows AI to: * Ask questions about your dataset * Automatically generate DAX * Run the DAX * Return results in natural language Example: You type: “What were the top 5 products by sales last quarter?” AI: * Reads your model structure * Generates DAX * Runs the query * Returns the answer * You didn’t write any DAX. That’s powerful for business users.   Simple Analogy Let’s make it very simple. Before MCP: * AI: “I don’t know your dataset.” * You: Copy paste schema. * You: Write custom code. * Maintenance: Complicated. After MCP: * AI: “Here are the tools available.” * AI: “Here is the model structure.” * AI: “Let me handle it.” It’s like giving AI a proper login and instruction manual for your Power BI model. Why Is This Important for Beginners? If you are starting your career in: * Power BI Development * Data Analytics * Data Engineering You must understand one thing: * AI is not replacing Power BI. * AI is integrating with Power BI. MCP is the bridge. In the future: * Analysts may ask questions directly via AI * Developers may model using AI assistance * Data engineers may expose datasets for AI agents Understanding MCP early gives you a future advantage. What It Is NOT Let’s clear confusion. A Power BI MCP Server is NOT: * A replacement for Power BI * A new visualization tool * A new report builder * A new database It is: * A communication layer between AI and Power BI How It Works in Very Simple Flow * You ask a question in natural language. * AI reads available tools from MCP server. * AI decides which Power BI action to use. * MCP server executes the action. * Result is returned to you. * Everything happens in a structured and secure way. Why This Matters in the Real World Think about large organizations. Today: * Developers write DAX. * Analysts manually test measures. * Model changes take time. With MCP: * AI can assist in modeling. * AI can validate measures. * AI can automate repetitive tasks. * AI can answer business questions directly. This increases productivity. Final Thoughts A Power BI MCP Server is: A smart bridge that allows AI tools to directly interact with Power BI models in a structured, secure, and standardized way.   If you are a fresher, don’t panic. * You don’t need to implement it today. But you should: * Understand what it is * Understand why it exists * Understand that AI + Power BI integration is the future Because the next generation of Power BI development will not just be: * DAX + Reports It will be: * DAX + Reports + AI + MCP Join Power BI Corner Group: https://chat.whatsapp.com/KqsU8HUXcsaIoUEyq0zCIq Let's Connect on LinkedIn Subscribe to my YouTube channel for Microsoft Fabric and Power BI updates.

What Is a Power BI MCP Server? (Explained for Beginners): If you are new to Power BI and you hear the term “Power BI MCP Server”, it may sound very technical and confusing.


Let’s simplify it.


Imagine… @PowerBI #PowerBI #DataAnalytics #BusinessIntelligence #MachineLearning #ArtificialIntelligence

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Our CEO Alex Whittles attended the Microsoft MVP Summit last week.

It is where some of the most experienced voices in Power BI and Fabric come together to discuss what is coming next.

Those insights shape how we continue to evolve Power BI Sentinel💡
#MicrosoftMVP #PowerBI #MicrosoftFabric

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3D isometric tile map of the United States showing average elevation by state. Each state is represented as a rectangular bar, with bar height and color both encoding elevation — taller and darker green bars indicate higher elevation. Colorado and Wyoming are the tallest bars at 6,800 and 6,700 feet respectively, followed by Utah at 6,100 feet and Nevada at 5,500 feet, reflecting the Rocky Mountain region. Eastern and Gulf Coast states such as Florida, Louisiana, and Delaware have very short bars at 100, 100, and 60 feet respectively. States are arranged in approximate geographic positions. Data source: USGS via U.S. Census Bureau Statistical Abstract.

3D isometric tile map of the United States showing average elevation by state. Each state is represented as a rectangular bar, with bar height and color both encoding elevation — taller and darker green bars indicate higher elevation. Colorado and Wyoming are the tallest bars at 6,800 and 6,700 feet respectively, followed by Utah at 6,100 feet and Nevada at 5,500 feet, reflecting the Rocky Mountain region. Eastern and Gulf Coast states such as Florida, Louisiana, and Delaware have very short bars at 100, 100, and 60 feet respectively. States are arranged in approximate geographic positions. Data source: USGS via U.S. Census Bureau Statistical Abstract.

#WOW2026 for #PowerBI Week 13: Tile Map with 3D effect showing average elevation of U.S. states. You can pick the visual/language and the tile shape. Show us what you got!
www.workout-wednesday.com/pbi-2026-w13/

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Our Data Analyst Trainee Placement Programme takes you from zero → job-ready with:
✔️ Hands-on projects
📅 Starts: 14th May 2026
👉 Register: whatsform.com/l38vwc%E2%81....
🌐 www.inspirotechacademy.co.uk⁠
#DataAnalytics #TechCareers #CareerChange #UKJobs #Upskill #RemoteJobs #Python #SQL #PowerBI

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Model Context Protocol (MCP) Explained - In Simple Terms for Data Professionals There has been a lot of hype around Model Context Protocol (MCP) lately.   If you are a Power BI Developer, Data Analyst, or Data Engineer, you might be wondering:   * Is this just another AI buzzword? * Or is this something that will actually impact how we build data solutions?   In this blog, I’ll explain MCP in extremely simple terms, then go deeper technically so you understand why it matters, especially if you’re building AI-powered data applications.

Model Context Protocol (MCP) Explained - In Simple Terms for Data Professionals: There has been a lot of hype around Model Context Protocol (MCP) lately.


 


If you are a Power BI Developer, Data Analyst, or Data… @PowerBI #DataProfessionals #PowerBI #DataAnalyst #DataEngineer #AIBuzzword

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Power BI: connect to the Confluence API v2 database

With Power BI, learn how to extract data from a confluence atlassian page for your dashboard www.itilreporting.com/powerbi/powe... #powerbi #atlassian #confluence

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PowerBI In Action (Tutorial) - 002 - Chapter 01: Data Analytics Terms (1)
PowerBI In Action (Tutorial) - 002 - Chapter 01: Data Analytics Terms (1) YouTube video by Yasen - Enterprise Architecture

PowerBI In Action (Chapter 01) 🚀

We’re diving deep into the Data Analytics terms every Enterprise Architect should know. From Structured Data to the logic of Business Intelligence.

📺 Full video: youtu.be/yTRBSwRheo8

Support the channel by subscribing or joining as member! #DataAnalytics #PowerBI

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Enhance your skills in #PowerBI Desktop with Chinook’s online course, Advanced Power BI. This course focuses on advanced features of Power Query, Data Modeling, and Reporting. The course runs from April 6 to May 1. #WeAreCBE Learn more: sbee.link/jnwpgtxhdk

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200+ people attended. One of the highest rated sessions at Gartner®. Missed it?

We’re running it again as a webinar:
Managing Risk & Trust in Power BI & Fabric

👉 www.eventbrite.co.uk/e/managing-r...

#GartnerDA #PowerBI #MicrosoftFabric

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Ferry Tales Studio — Vega-Lite Chart Editor A browser-based Vega-Lite chart editor. Write JSON, preview live, no sign-in required.

I started creating a vega-lite builder to help me teach people how to create visuals in Deneb. I think there are some pretty nice features in it, so feel free to take a look and see if it could be useful to you, too.

#PowerBI #Datavis #VegaLite #Deneb

powerbiferrytales.github.io/vegalite.html

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Making BPA Results Actionable with Automated PR Comments Building your Power BI CI/CD pipeline with GitHub Actions (Part 3)

Making BPA Results Actionable with Automated PR Comments by Dániel Gábor Patkós #PowerBI fabricatedinsights.substack.com/p/making-bpa...

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Dataflows: Thank you for eight years of Gen1—and why Gen2 is the future For more than eight years, customers have relied on Power BI Dataflows (Gen1) as a core part of their analytics solutions. We’re grateful for the trust you placed in the Power Query experience to build...

Dataflows: Thank you for eight years of Gen1—and why Gen2 is the future by Miguel Llopis #PowerBI powerbi.microsoft.com/en-us/blog/d...

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On-premises data gateway February 2026 release | Microsoft Fabric Blog | Microsoft Fabric Here is the February 2026 release of the on-premises data gateway (version 3000.306).

On-premises data gateway February 2026 release by Leo Li #PowerBI blog.fabric.microsoft.com/en-US/blog/o...

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Export Outlook Mailbox to Excel via Power Query  - Select Distinct Learn how to use Power Query to export and clean Outlook mailbox data in Excel for faster reporting and better email insights.

Export Outlook Mailbox to #excel via #PowerQuery by Elle Harrison #PowerBI www.selectdistinct.co.uk/2026/03/31/e...

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Create a Line Chart with a target band in Power BI and small multiples
Create a Line Chart with a target band in Power BI and small multiples In this tutorial, I show you how to build a line chart in Power BI where the markers change color based on whether a value falls within its target range, and...

Create a Line Chart with a target band in Power BI and small multiples by Valerie Junk #Data #PowerBI www.youtube.com/watch?v=lkvw...

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Setting up Power BI Version Control with Azure Dev Ops - FourMoo | Microsoft Fabric | Power BI In this blog post I showed you how to set up Power BI version control when connecting to Azure Dev Ops.

Setting up Power BI Version Control with #Azure DevOps by Gilbert Quevauvilliers #microsoft #PowerBI www.fourmoo.com/2026/04/01/s...

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Subscriptions as a Silent Hero - Ep. 516 - Power BI tips
Subscriptions as a Silent Hero - Ep. 516 - Power BI tips Got an idea or Topic for discussion, Drop us a Line at: https://bit.ly/3i8LdBoSubscribe https://powerbi.tips/podcastJoin Tips+ for the best theme generator h...

Subscriptions as a Silent Hero - Ep. 516 - Power BI tips by Mike Carlo and Tommy Puglia #PowerBI www.youtube.com/watch?v=Mxuv...

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I Added One Thing to a Bar Chart and My Client Was Speechless
I Added One Thing to a Bar Chart and My Client Was Speechless NEW TRAINING - User-Defined Functions in Power BI The Next Level of DAXGet Your Discount here https://datatraining.io/powerbi-udf-trainingJoin my Power BI Tr...

How Senior Power BI Developers Annotate Their Bar Charts by Bas Dohmen #Data #PowerBI www.youtube.com/watch?v=GSTM...

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Chat with Copilot inside a report on the Power BI mobile app (Preview) If you haven’t already, check out Arun Ulag’s hero blog “FabCon and SQLCon 2026: Unifying databases and Fabric on a single, complete platform” for a complete look at all of our FabCon and SQLCon...

Chat with Copilot inside a report on the Power BI mobile app (Preview) by Efrat Mininberg #PowerBI powerbi.microsoft.com/en-us/blog/c...

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Help! How Do We CI/CD - Ep. 514 - Power BI tips
Help! How Do We CI/CD - Ep. 514 - Power BI tips Got an idea or Topic for discussion, Drop us a Line at: https://bit.ly/3i8LdBoSubscribe https://powerbi.tips/podcastJoin Tips+ for the best theme generator h...

Help How Do We CI/CD - Ep. 514 - Power BI tips by Mike Carlo and Tommy Puglia #PowerBI www.youtube.com/watch?v=NlTl...

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Solve Tough Data Problems Beyond Star Schema
Solve Tough Data Problems Beyond Star Schema Download the Practice Kit ⬇ - https://goodly.co.in/how-to-structure-multiple-fact-tables-in-power-biLearn more about my DAX & Data Modeling Course - https://...

Solve Tough #Data Problems Beyond Star Schema by Chandeep Chhabra #PowerQuery #excel #PowerBI www.youtube.com/watch?v=6X3r...

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Dataflows: Thank you for eight years of Gen1—and why Gen2 is the future For more than eight years, customers have relied on Power BI Dataflows (Gen1) as a core part of their analytics solutions. We’re grateful for the trust you placed in the Power Query experience to buil...

No words

powerbi.microsoft.com/en-us/blog/d...

#PowerBI #PowerQuery #Dataflows

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DAX user-defined functions (UDF) vs. calculation groups - SQLBI This article describes the different roles of user-defined functions and calculation groups, explaining when to use either, and how they complement each oth

DAX user-defined functions (UDF) vs. calculation groups by Marco Russo #PowerBI www.sqlbi.com/articles/dax...

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Git Best Practices Diff Noise & Naming - Ep. 513
Git Best Practices Diff Noise & Naming - Ep. 513 Got an idea or Topic for discussion, Drop us a Line at: https://bit.ly/3i8LdBoSubscribe https://powerbi.tips/podcastJoin Tips+ for the best theme generator h...

Git Best Practices Diff Noise & Naming - Ep. 513 by Mike Carlo and Tommy Puglia #PowerBI www.youtube.com/watch?v=XgRe...

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Power BI Report-Scoped Measures: 6 Patterns for Better Reports
Power BI Report-Scoped Measures: 6 Patterns for Better Reports Report-scoped measures (aka report-specific measures) are one of the easiest ways to level up a Power BI report without turning your semantic model into a ju...

Power BI Report-Scoped Measures: 6 Patterns for Better Reports by Reid Havens #Data #Analytics #PowerBI www.youtube.com/watch?v=0Wvb...

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