A data lakehouse is an architecture that merges the benefits of data lake and data warehouse into a single platform. It enables the storage of large volumes of raw, unstructured data (as in a data lake) while also supporting the management and querying of structured data with high performance and reliability (as in a data warehouse). This approach provides the flexibility of data lakes for handling diverse data types and the transactional capabilities and schema enforcement of data warehouses. By integrating these features, a data lakehouse facilitates efficient data processing, analytics, and reporting, allowing organizations to streamline their data infrastructure and reduce data movement between systems.