{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3375111207f740d08f7cc81c6ac5cb5f\" frameborder=\"0\" width=\"1662\" height=\"1246\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1246,"width":1662,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1246,"thumbnail_width":1662,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3375111207f740d08f7cc81c6ac5cb5f-2f0cba6edb9056b0.gif","duration":469.366,"title":"Self-Serve Data with Cursor + Data Warehouse MCP","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."}