- Course
- Data
Version Control, CI/CD, and Deployment in dbt
Managing dbt projects at scale requires robust version control, automated testing, and reliable production workflows. This course covers Git workflows, CI/CD automation, and monitoring techniques for scalable analytics.
What you'll learn
Managing dbt projects in collaborative environments can be challenging without proper version control, automated testing, and production deployment strategies. Teams often struggle with code conflicts, manual deployment processes, and difficult-to-debug production issues.
In this course, Version Control, CI/CD, and Deployment in dbt ,you'll gain the ability to manage enterprise-level dbt projects with confidence and reliability. First, you'll explore Git workflows and collaboration strategies for dbt development. Next, you'll discover CI/CD integration, automated testing pipelines, production deployment and orchestration techniques. Finally, you'll learn how to debug, monitor, and optimize dbt runs in production environments. When you're finished with this course, you'll have the skills and knowledge of enterprise dbt project management needed to deploy, maintain, and scale analytics workflows in production with automated testing, monitoring, and collaboration best practices.
Table of contents
About the author
Staff Software Engineer with a PhD in Computer Science and 15+ years of experience designing and developing complex software systems. Passionate about staying ahead of technology trends to deliver high-quality solutions.