Which term refers to a data warehouse that integrates multiple streams of unstructured data?

The term that refers to a data warehouse integrating multiple streams of unstructured data is a data lake. A data lake is designed to store vast amounts of raw data in its native format until it is needed. This allows for the handling of diverse data types, including unstructured data such as text, images, videos, and social media content.

In contrast, a traditional data warehouse tends to be more structured, focusing on structured data that has been cleaned and processed for analytical purposes. Data marts usually emphasize specific business lines with curated datasets, and a data repository generally refers to a storage location but does not imply the integration and management capabilities that a data lake offers. Therefore, a data lake is specifically suited for the integration of varied unstructured data streams.