dbt (Data Build Tool): The Analytics Engineering Guide

Elevate Your Analytics Workflows: Transform data with dbt Cloud & dbt Core and Apply Software Engineering best practices

Take your skills as a data professional to the next level with this Hands-on Course course on dbt, the Data Build Tool.

Start your journey toward mastering Analytics Engineering by signing up for this course now!

This course aims to give you the necessary knowledge and abilities to effectively use dbt in your data projects and help you achieve your goals.

This course will guide you through the following:

1. Understanding the dbt architecture: Learn the fundamental principles and concepts underlying dbt.

2. Developing dbt models: Discover how to convert business logic into performant SQL queries and create a logical flow of models.

3. Debugging data modeling errors: Acquire skills to troubleshoot and resolve errors that may arise during data modeling.

4. Monitoring data pipelines: Learn to monitor and manage dbt workflows efficiently.

5. Implementing dbt tests: Gain proficiency in implementing various tests in dbt to ensure data accuracy and reliability.

6. Deploying dbt jobs: Understand how to set up and manage dbt jobs in different environments.

7. Creating and maintaining dbt documentation: Learn to create detailed and helpful documentation for your dbt projects.

8. Promoting code through version control: Understand how to use Git for version control in dbt projects.

9. Establishing environments in data warehouses for dbt: Learn to set up and manage different environments in your data warehouse for dbt projects.

10. Testing Data Models: Learn how to use built-in tests in dbt and create custom ones.

By the end of this course, you will have a solid understanding of dbt, be proficient in its use, and be well-prepared to take the dbt Analytics Engineering Certification Exam. Whether you're a data engineer, a data analyst, or anyone interested in managing data workflows, this course will provide valuable insights and practical knowledge to advance your career.

Please note that this course does not require any prior experience with dbt. However, familiarity with SQL and basic data engineering concepts will be helpful.

Disclaimer:
This course is not affiliated, associated, authorized, endorsed by, or in any way officially connected with dbt Labs, Inc. or any of its subsidiaries or its affiliates.  The name “dbt” and related names, marks, emblems, and images are registered trademarks of dbt Labs, Inc. Similarly; this course is not officially connected with any data platform or tools mentioned in the course. The course content is based on the instructor's experience and knowledge and is provided only for educational purposes.