<?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/29dcfeea1c924de1bdc3aa4f29aa3b37&quot; frameborder=&quot;0&quot; width=&quot;1730&quot; height=&quot;1297&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1297</height><width>1730</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1297</thumbnail_height><thumbnail_width>1730</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/29dcfeea1c924de1bdc3aa4f29aa3b37-d2f41b31a8ba2d47.gif</thumbnail_url><duration>68.5925</duration><title>Understanding Metafield Viewer</title><description>Hey there! In this video, I explain our Metafield Viewer feature, created by David, which has gained popularity among developers. The Metafield Viewer displays all existing metafields in a user-friendly format, including key information like name, namespace, and resource type. It&apos;s a handy tool for data management and connecting information across platforms. I also show how to manually refresh and sync new metafields and filter by resource in data science.</description></oembed>