What does the term "graph operators" refer to in dbt?

The term "graph operators" in dbt refers specifically to operators that define relationships between models. In the context of dbt, models are SQL files that transform raw data into a more analyzable format. The relationships between these models are critical because they form a directed acyclic graph (DAG), illustrating how data flows through different transformation stages.

By using graph operators, users can define dependencies that dictate the order in which models are built or run during the dbt execution process. This ensures that data in upstream models is processed before any downstream models that rely on it, maintaining the integrity and accuracy of data transformations. Understanding these relationships is essential for building efficient data pipelines, as it helps in optimizing the processing time and resource management.

Other choices do not capture this definition accurately. Commands that modify database structures pertain more to database administration rather than model relationships. Tools for visualizing data output focus on how data is presented or reported post-transformation, and functions for user access control deal with permissions and security aspects rather than inter-model relationships.