dbt allows you to model and transform data by representing transformation through SQL queries. To retrieve the data, dbt impersonates a profile. It represents the parameters used to connect to a specific database such as username, password, database type, and schema to point. When working with dbt, you could fall into the situation where data needs to be retrieved from multiple sources. dbt supports this scenario and lets you define more than one profile.
After a profile is created, dbt needs to know what are the sources (the tables in the database) to start the transformations from. In order to do so, you need to define dbt sources. All the dbt sources need to be mapped by specifying the schema and the table the source represents. If you don't map a source, dbt doesn't have visibility on it, so you can't use it as a starting point for your transformations.
In this lab, you will configure a dbt profile that points to a PostgreSQL database hosted in your lab environment, and you will define some sources based on tables available in the PostgreSQL database.
Upon completion of this lab, you will be able to:
To get the most from this lab, you should have basic knowledge of dbt. To get ready, you can use the following labs:
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.