<?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/b65632fc0ee5404e895e5afdc3e17653&quot; frameborder=&quot;0&quot; width=&quot;1494&quot; height=&quot;1120&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1120</height><width>1494</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1120</thumbnail_height><thumbnail_width>1494</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/b65632fc0ee5404e895e5afdc3e17653-00001.gif</thumbnail_url><duration>114.96603170000003</duration><title>Introduction to the dbt Semantic Layer Cell in Hex</title><description>In this video, I provide a quick introduction to the dbt semantic layer cell in Hex. I demonstrate how to use the dbt Semantic layer cell to create queries on the fly. I highlight that dbt now supports Snowflake, BigQuery, Databricks, and Redshift, allowing users to define metrics on any of these databases and use them directly in Hex. I showcase how to select specific metrics, set a time grain, and run the query. Finally, I explain how the data is returned as a pandas dataframe, which can be further manipulated and used for downstream needs. Explore and let us know your thoughts!</description></oembed>