Which of the following describes a primary function of dbt?

The primary function of dbt (data build tool) is to facilitate data transformations via SQL. This tool is designed specifically for analysts and engineers to work with data transformation within the data warehouse. By using SQL, dbt allows users to define models that represent tables or views in a consistent way, enabling efficient transformations of raw data into a more usable format for analysis.

dbt provides a framework for writing, testing, and documenting these transformations, ensuring that the data is reliable and well-managed. This makes it an essential tool in modern analytics practices by allowing users to build and maintain the analytics layer of their data stack effectively. It enables teams to harness the power of SQL for data analytics and improves collaboration across data teams significantly.

The other options describe activities or functions that are not central to what dbt is designed to do. For example, creating interactive dashboards typically involves visualization tools rather than data transformation. Running Python scripts for data processing suggests a programming approach that is outside the scope of dbt’s SQL-focused design. Managing cloud storage is also unrelated to dbt’s purpose, as dbt operates on top of existing cloud data storage solutions rather than managing them directly.