What key characteristic differentiates a datamart from a data warehouse?

A datamart is specifically designed to serve a particular business line or team, which makes it smaller and more specialized compared to a data warehouse. A data warehouse contains a vast amount of data that serves the entire organization, consolidating data from multiple sources, while a datamart focuses on a specific subject area or department, such as sales, finance, or marketing. This specialization allows for more efficient querying and analysis relevant to that specific area, enabling users to access and use relevant data without wading through larger datasets.

In contrast, a data warehouse encompasses broader data integration and storage initiatives across the organization, hence it tends to be larger and less targeted than a datamart. Additionally, the other options imply incorrect characteristics regarding the size and purpose of a datamart, which do not align with its functional role in business intelligence.