Initialize a dbt project using Docker скачать в хорошем качестве

Initialize a dbt project using Docker

In this tutorial, I walk through how to initialize a dbt project using Docker, focusing on building a custom dbt Docker image with the BigQuery adapter. This approach helps you keep dbt fully isolated from your local environment while maintaining a clean, reproducible engineering workflow. You can find the official documentation here: dbt official Docker images: https://docs.getdbt.com/docs/core/docker-i... While the official images are great for many use cases, this tutorial demonstrates why you might choose to build your own Docker image, especially when you need a specific adapter such as dbt-bigquery. I show how to create a custom Dockerfile tailored to this setup and explain each key section along the way. Dockerfile used in this video: https://github.com/K-O-N/Yellow-Trips-Data... docker-compose.yml used in this video: https://github.com/K-O-N/Yellow-Trips-Data... Throughout the video, you’ll learn how to: Use Docker to run dbt in an isolated environment Decide between official dbt images and custom Docker builds Configure dbt with the BigQuery adapter Mount dbt projects and credentials securely Use Docker Compose for repeatable dbt workflows This tutorial is ideal for data engineers, analytics engineers, and anyone learning dbt who wants a practical, production-minded setup using Docker. If you found this helpful, consider liking the video, leaving a comment, and subscribing for more content on dbt, analytics engineering, data modelling, and modern data pipelines.