What characterizes a dependent data mart?

A dependent data mart is characterized by the fact that it pulls data from an enterprise data warehouse. This means that it does not source its data independently from various operational systems or third-party sources, but rather relies on a centralized data warehouse. The enterprise data warehouse serves as a comprehensive repository that integrates data throughout the organization, ensuring consistency and accuracy before the data is fed into the data mart.

Using an enterprise data warehouse as the basis for a dependent data mart allows organizations to maintain a single version of the truth, facilitating effective decision-making and reporting processes. This centralized approach enables data marts to focus on specific business areas or functions, while still leveraging the comprehensive information stored in the data warehouse. Additionally, this method helps to reduce data redundancy and improves data governance, as the data within the data mart is consistent and aligned with the central data model established in the warehouse.

The other options describe characteristics of data marts that do not align with the nature of dependent data marts. Dependent data marts, by definition, are directly tied to the enterprise data warehouse, distinguishing them from independent data marts, which stand alone and draw from multiple sources.