Data Build Tool Challenge
Push your skills to the next level in a live environmentLab Steps
The hands-on lab is part of this learning path
Advanced
2h
35
Lab challenges are hands-on labs with the gloves off. You jump into an auto-provisioned cloud environment and are given a goal to accomplish. No instructions, no hints. To pass, you'll have a limited time to demonstrate your problem-solving skills and get the checks that inspect the state of your lab environment.
In this lab challenge, you will need to prove your knowledge of the Data Build Tool (dbt) by creating a project, defining sources, creating different models, organizing and testing models, and building the dbt project. The objectives you will need to achieve represent valuable skills that Data Analysts and Data Engineers need to have. You'll be given a desired end state and be required to reach it using your knowledge of Data Build Tool. This lab challenge simulates building a solution in a real-world scenario. As with any real-world scenario, this lab will not guide you through the steps needed to complete it.
What will be assessed
- Your ability to use Data Build Tool
- Knowledge of dbt models
- Work with dbt tests
Intended audience
- Data Analysts and Data Engineers, especially those focused on data modeling and transformation
Prerequisites
- Good knowledge of SQL
- Good knowledge of dbt
Stefano studies Computer Science and is passionate about technology. He loves working with Cloud services and learning all the best practices for them. Google Cloud Platform and Amazon Web Services are the cloud providers he prefers. He is a Google Cloud Certified Associate Cloud Engineer. Node.js is the programming language he always uses to code. When he's not involved in studying or working, Stefano loves riding his motorbike and exploring new places.