In this writing, I want to share how I started to learn using the Power BI Modeling MCP server  together with Power BI Projects (.pbip) and VSCode , and how that experiment turned into a full workflow: building a Contoso  star schema with an AI agent, generating a measure table , cleaning up metadata  (Sort by column), and automatically hiding visual-level filters  in the filter pane by editing the report JSON. This is all from an actual hands-on session; the screenshots I’ll

I didn’t expect the Power BI Modeling MCP Server to reshape my modeling habits. My plan was simple: read the November 2025 Feature Summary, test the feature for a few minutes, and move on. Instead, those “few minutes” turned into a fully immersive exploration where Copilot started behaving less like a text generator and more like a modeling agent. This post is a narrative of that journey — a story told through every screenshot I captured along the way — and how those moments

In this writing, I’d like to share the small experiment I did recently: querying an SVG measure from a semantic model using a Fabric Notebook , scaling it with Python, and displaying it directly in the notebook output. The idea started from a question from my manager: “If the semantic model produces SVG via DAX, can we render it outside Power BI and reuse it somewhere else?” Once I tried it, new use cases started to appear. The Data Model I Used Below is the sample semantic m

In this writing, I’d like to share how I started learning and experimenting with Copilot and AI-driven features  in Power BI and Fabric — and what I discovered about the role of semantic models  in making them work effectively. Prerequisites Before jumping into it, here’s the setup I used for experimenting with Copilot and AI-driven insights in Power BI and Fabric. Power BI Service (Fabric workspace)  — The experiments were all performed in a Fabric-enabled workspace, since C

In this writing, I’d like to share how I started learning about Composite Semantic Models  in Power BI and Fabric — especially now that Direct Lake mode can coexist with Import tables . When this feature first appeared in preview, I was curious how it could help simplify data architecture and improve performance for mixed workloads. After some testing, I’ve learned both the power and the limitations of this hybrid approach. Why This Feature Matters For years, I had to choose

In this writing, I’d like to share how I started to learn and create my own DAX UDF (User Defined Function) library , the pain points I’ve faced while trying to make the functions as general as possible, and how I plan to take the next steps forward. You can explore the project here: jihwankimdata/dax_udf_library How It Started Like many Power BI developers, I’ve written the same logic dozens of times — percentage growth, variance analysis, ranking, or window calculations — s

Introduction DAX User Defined Functions (UDFs) – introduced in the Power BI September 2025 release – let you encapsulate complex logic into named, parameterized functions that can be reused across measures and models. Power BI September 2025 Feature Summary | Microsoft Power BI Blog | Microsoft Power BI Unlike calculation groups, UDFs accept parameters and nest other functions, paving the way for cleaner, more maintainable semantic models. Enterprise scenario:  Let's assume,

In this writing, I’d like to share how I’ve been exploring TMDL (Tabular Model Definition Language)  since it was in preview — and why...

In this writing, I’d like to share how I started learning to edit semantic models directly in the Power BI service  and how TMDL (Tabular...

Why I Started Looking at Refresh Templates For years, I’ve learned and worked with refresh schedules in Power BI. At a small scale,...

In this writing, I’d like to share how I've learned to dramatically accelerate one of the most common and repetitive tasks in Power BI...

In this writing, I’d like to share what I have learned from a recent Microsoft Fabric announcement that, in my opinion, is one of the...

In this writing, I’d like to share how I learn to navigate the evolving world of DAX. In an era dominated by AI and low-code solutions,...

I. Introduction: The All-Too-Common Incremental Refresh Headache In this writing, I’d like to share how I approach a frustratingly common...

In this writing, I’d like to share how I learned and understood one of the most important—and often overlooked—files I encountered as I...

In this writing, I’d like to share how I am evolving my Power BI development process. For years, building semantic models has been a...

In this writing, I like to share how I learned understanding and writing OFFSET DAX function in Power BI. OFFSET function (DAX) - DAX |...

Introduction: A New Chapter in My Power BI Development Journey In this writing, I'd like to share my journey with a feature that has...

By Jihwan Kim In this writing, I like to share how I learned to tackle one of the more insightful business analyses – cohort analysis,...

Measure Bloat You Can’t See—But Still Pay For Introduction In this writing, I like to share how I learned to uncover hidden VertiPaq...