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In this tutorial, you'll learn how to set up the cloud infrastructure needed for Module 4 of the Data Engineering Zoomcamp. By the end of this video, you'll be able to configure BigQuery with dbt Cloud, create secure service accounts with appropriate permissions, and initialize your first dbt project in the cloud. 🔗 Course materials: https://github.com/DataTalksClub/data... 💬 Join the community: https://datatalks.club/slack What You'll Learn: Setting up BigQuery API access and verifying your data from Module 3 Creating service accounts following security best practices Configuring dbt Cloud with BigQuery integration Understanding the difference between managed and GitHub-integrated Git repositories Initializing and structuring your first dbt Cloud project Timestamps: 0:00 - Introduction and prerequisites 1:14 - Enabling BigQuery API 1:30 - Creating a service account for dbt Cloud 3:00 - Configuring permissions (Data Editor, Job User, User roles) 4:47 - Generating and managing authentication keys 6:04 - Verifying your BigQuery data from Module 3 7:27 - Setting up your dbt Cloud account 8:36 - Creating a new dbt project 9:02 - Configuring BigQuery connection 11:00 - Creating development and production environments 13:04 - Choosing between managed and GitHub-integrated repositories 14:47 - Initializing your dbt project structure 15:49 - Creating your first Git commit and branch