A Data Lakehouse is a modern data management architecture that combines the features of a data lake and a data warehouse. It allows organizations to store vast amounts of raw data in its native format while also providing the structure needed for analytics and reporting. This hybrid approach enables users to access and analyze data more efficiently, supporting both structured and unstructured data types. By integrating the flexibility of a data lake with the performance of a data warehouse, a data lakehouse simplifies data processing and reduces costs. It supports various data processing frameworks and tools, making it easier for data scientists and analysts to derive insights from large datasets.