How does dbt facilitate teamwork and collaboration?

dbt facilitates teamwork and collaboration primarily by promoting a Git-based version control system. This approach allows multiple team members to work simultaneously on various aspects of a project without conflicts. Each team member can develop, test, and make changes in isolated branches, enabling them to merge their contributions back into the main codebase seamlessly. This system also tracks changes over time, helping teams manage the evolution of their projects efficiently. Being built around Git encourages best practices such as code reviews, collaboration on feature development, and maintaining clear documentation of the project's history, which is essential for team dynamics.

While individual project branches can support collaboration by enabling team members to work separately before merging, it is the Git-based version control system that fundamentally underlies teamwork by providing the structure for these branches to exist and be managed effectively. A point-and-click interface, while helpful for end-users to interact with data or dashboards, does not enhance the collaborative aspects of data engineering workflows in the same way as a version control system. Training resources for new users are beneficial for onboarding but do not directly influence ongoing collaboration between team members already engaged in the project.