<?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/433c37289e3e44a6b374f5606b8eb394&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/433c37289e3e44a6b374f5606b8eb394-00001.gif</thumbnail_url><duration>257.06</duration><title>Understanding and Simplifying Complex Data Flows in Magic ETLs</title><description>In this video message, I discuss the challenges of understanding and working with complex data flows in a company&apos;s demo instance. I propose a feature called &quot;block tiles&quot; that would allow users to compartmentalize sections of logic within an ETL, making it easier to navigate and document. By creating a graphical container for related tiles, analysts can better understand and maintain their ETLs. I explain how block tiles would function and the benefits they would bring, such as simplifying existing ETLs and facilitating the onboarding of new analysts.</description></oembed>