<?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/3375111207f740d08f7cc81c6ac5cb5f&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3375111207f740d08f7cc81c6ac5cb5f-2f0cba6edb9056b0.gif</thumbnail_url><duration>469.366</duration><title>Self-Serve Data with Cursor + Data Warehouse MCP</title><description>In this video, I shared a helpful use case for non-developers using Cursor to self-serve data from cloud data warehouses like Databricks or Snowflake. I walked through the process of setting up the cloud data warehouse and creating documentation to make data access easier for the team. I demonstrated how I built a skill to pull support ticket data and generate visualizations effortlessly. Additionally, I showcased a web app I created to manipulate and visualize this data in various ways. I encourage you to think about how you can leverage Cursor for your own workflows to simplify data access and visualization.</description></oembed>