What are 'sources' in the context of dbt?

In the context of dbt, 'sources' refer to definitions that point to raw tables in the database. Sources are essential because they are the starting point in the dbt process; they represent the original data that has not yet been transformed. By defining sources in dbt, you create a clear and reproducible reference to the raw data in your warehouse, establishing a foundation for any transformations you later apply in your models. This helps track lineage and ensures that the transformations are built on accurate initial data, which is crucial for maintaining data integrity and understanding the flow of information through your pipeline.

Understanding the role of sources clarifies how dbt integrates with the data workflow, emphasizing the importance of starting with reliable raw data to inform further analyses and transformations. Additionally, sources can be useful in testing and documentation, allowing analysts to manage and verify their data dependency more effectively.