<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/a549c94a27544727b8f98395e9bfc573&quot; frameborder=&quot;0&quot; width=&quot;1302&quot; height=&quot;976&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>976</height><width>1302</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>976</thumbnail_height><thumbnail_width>1302</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/a549c94a27544727b8f98395e9bfc573-1715286996709.gif</thumbnail_url><duration>553.1</duration><title>Building Data Models: Understanding the Basics [Public]</title><description>In this video, I explain the concept of building data models and how they define structured data and information systems. I discuss the importance of building data models in providing context and structure to air quality data, making it easier to analyze and understand. I also guide viewers on how to set up a building data model in their Kitera account, including creating a building, defining floors, and adding spaces. No action is requested from viewers, but this video provides essential information for anyone interested in building data models.</description></oembed>