What is an exposure in dbt?

An exposure in dbt refers to a way of documenting how a dbt model is utilized within an organization. This concept emphasizes the importance of understanding the context and application of models beyond just their technical definitions. By creating exposures, analysts can articulate how specific models contribute to business decisions or insights, showcasing their relevance and use cases. This documentation enables improved communication within teams and can help stakeholders understand the impact of the analytics work being done.

In contrast, the other options refer to different aspects of dbt or data transformation processes. Transforming data is a core function of dbt, but it does not capture the concept of exposures, which specifically relates to usage documentation. Similarly, while some might associate storage solutions or advanced analytical models with dbt’s functionality, these do not align with the definition of exposures. The focus on model usage illustrates an organization’s reliance on data insights, making exposures a critical part of effective analytics practice.