dbt is rapidly becoming the go to solution for modern data transformations, reshaping how teams build and manage analytics workflows. In many organizations, the transformation (T) step of the extract load transform (ELT) process can feel like a roadblock, demanding specialized skills, intensive testing, and lengthy deployment cycles for even small updates. dbt simplifies this process by focusing on transformations directly in your database or data warehouse, using SQL as its core language. This means analysts and engineers can leverage the SQL skills they already know to create scalable, reliable data models without complex tooling. In this session, we’ll introduce the principles behind dbt, explore its key use cases, and showcase features through live demonstrations, giving you the knowledge and confidence to start building modern analytics workflows.
