A "data lakehouse" combines features of both a data lake and a data warehouse in data architecture. It allows organizations to store all types of data—structured, semi-structured, and unstructured—while also providing data management and query capabilities typical of data warehouses. This hybrid model supports advanced analytics, machine learning, and real-time data processing, enabling teams to derive insights quickly without needing to move data between systems.