{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/2bf3a187edb54c3cae8f32b5430dd0cd\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/2bf3a187edb54c3cae8f32b5430dd0cd-1691776334922.gif","duration":1191.93,"title":"Create and deploy a BigQuery pipeline from scratch","description":"In this video, I'll show you how to create and deploy a data pipeline using a combination of tools like DLT, DBT, DugDB, and MotherDug. The best part is that I'll be doing it all in Python, making it highly customizable for any source or data. With just a few lines of code, you'll have a fully deployed data pipeline up and running. Get ready to streamline your data processing!"}