dbt Core is a modern data transformation framework. It doesn’t extract or load data and is only responsible for the T in the ELT (extract-load-transform) process. dbt connects to your data warehouse and helps you prepare your data so it can later be used to answer business questions.
In this blog post, we’ll talk about the top benefits of dbt and the advantages of using it in PyCharm Professional. To make the most of these features, you should be familiar with the framework. If you know SQL well, you’ll likely find it easy to use, and if you are a total novice in the field, you can use the dbt portal to get acquainted with it.
- Modularity and code reusability – Transformations can be saved into modular, reusable models. For instance, in this example the model int_count_customer.sql has a reference to stg_day_customer.sql and reuses its code.
- Versioning – dbt projects can …