Introduction to dbt

dbt (data build tool) is an open-source tool that helps data teams transform raw data into analytics-ready datasets using SQL. It simplifies the creation, testing, and documentation of data transformation workflows.

This course is designed for anyone looking to learn how to use dbt for data transformations. It covers the basics of setting up dbt projects, writing SQL models, and managing dependencies. You should how already be familiar with SQL, the Shell console, and basic structure of data warehouses.

The course covers the fundamentals of dbt, including project setup, writing SQL models, defining dependencies, using Jinja for templating, documentation generation, and performance optimization.

This course is ideal for data analysts, analytics engineers, data engineers, and anyone involved in data transformation and modeling.

You will learn to set up and manage dbt projects, write SQL-based transformation models, use Jinja for templating, troubleshoot models, and document your transformations for better collaboration.

Yes, a basic understanding of SQL is recommended since dbt relies heavily on SQL queries for data transformations.