<?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/8a1438201da64f1b867a8a6a4a10e66b&quot; frameborder=&quot;0&quot; width=&quot;1032&quot; height=&quot;774&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>774</height><width>1032</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>774</thumbnail_height><thumbnail_width>1032</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/8a1438201da64f1b867a8a6a4a10e66b-f675694baa4f7c1f.gif</thumbnail_url><duration>950.556</duration><title>Malloy Explorer Overview</title><description>In this video, I demonstrate how the Malloy ecosystem effectively connects data engineers and analysts by allowing engineers to build and validate semantic models in their preferred IDE, like VS Code, and enabling analysts to explore these models in a user-friendly, web-based tool. I walk through the process of validating a model using the Malloy Explorer, showcasing its three-panel layout for building queries and viewing results. Once the model is validated, I introduce the Malloy Publisher, which serves governed models to analysts without requiring them to write code. I encourage viewers to explore the capabilities of the Malloy Publisher and consider how it can enhance their data analysis processes. Please take a moment to review the features and think about how they might apply to your work.</description></oembed>