Lakehouse in AWS
A lakehouse architecture is a modern data architecture that combines the best features of data lakes and data warehouses, while a data lake is a large, centralized repository that stores structured and unstructured data in its raw form. To have a structured view of data, you need to load data into the data warehouse. The lakehouse architecture combines a data lake with a data warehouse to provide a consolidated view of data.
The key difference between a lakehouse and a data lake is that a lakehouse architecture provides a structured view of the data in addition to the raw data stored in the data lake, while a data lake only provides the raw data. In a lakehouse architecture, the data lake acts as the primary source of raw data, and the data warehouse acts as a secondary source of structured data. This allows organizations to make better use of their data by providing a unified view of data while also preserving the scalability and flexibility of the data lake...