video1.0<iframe src="https://www.loom.com/embed/bad67a7c24f3449d989bcc1900b875f3" frameborder="0" width="1864" height="1398" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>13981864Loomhttps://www.loom.com13981864https://cdn.loom.com/sessions/thumbnails/bad67a7c24f3449d989bcc1900b875f3-1707321190177.gif496.863In this video, I will guide you through the process of setting up a continuous integration (CI) pipeline in dbt. We will start by understanding what CI is and how it benefits your dbt project. Then, we will explore the code and repository we will be using for this project. By the end, you will be able to open a new PR for your dbt project and kick off a CI pipeline. The CI pipeline will ensure that your dbt models compile and build properly, test your dbt models, and run a SQL linter against any code changes you make.