<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Power-Bi on TJ Brown | Tech Blog</title><link>https://tjbrown.ai/tags/power-bi/</link><description>Recent content in Power-Bi on TJ Brown | Tech Blog</description><generator>Hugo -- gohugo.io</generator><language>en</language><lastBuildDate>Thu, 05 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://tjbrown.ai/tags/power-bi/index.xml" rel="self" type="application/rss+xml"/><item><title>Metric Views: Basic Syntax</title><link>https://tjbrown.ai/posts/02-metric-views-yaml-spec-walkthrough/</link><pubDate>Thu, 05 Mar 2026 00:00:00 +0000</pubDate><guid>https://tjbrown.ai/posts/02-metric-views-yaml-spec-walkthrough/</guid><description>&lt;p&gt;In the last post, I introduced Databricks Metric Views and made the case for why Power BI developers should care. This post gets concrete: we&amp;rsquo;re going to write some YAML.&lt;/p&gt;
&lt;p&gt;If you&amp;rsquo;ve read the docs and felt a little unsure about what each field does or when to use it, this walkthrough is for you. We&amp;rsquo;ll start from the simplest possible definition and build it up step by step — adding a calculated dimension, then a window measure.&lt;/p&gt;</description></item><item><title>Introduction to Metric Views for Power BI Developers</title><link>https://tjbrown.ai/posts/01-introduction-metric-views-for-powerbi-developers/</link><pubDate>Wed, 18 Feb 2026 00:00:00 +0000</pubDate><guid>https://tjbrown.ai/posts/01-introduction-metric-views-for-powerbi-developers/</guid><description>&lt;p&gt;This blog post is for you: the Power BI Developer. If you&amp;rsquo;re reading this, perhaps you&amp;rsquo;ve already mastered Power BI semantic modeling. You know how to create Power BI data models with relationships, and understand how to use DAX to create calculated measures and calculated measures.&lt;/p&gt;
&lt;p&gt;I have some good news. &lt;strong&gt;Those semantic modeling skills are transferrable&lt;/strong&gt;. The better news: &lt;strong&gt;Databricks Metric Views are simpler and more powerful than Power BI semantic models&lt;/strong&gt;. If you haven&amp;rsquo;t taken a look at Metric Views for a while, I do believe now is the time to get ahead of this, because the calculation capabilities.&lt;/p&gt;</description></item></channel></rss>