How Does a Data Lake Differ from a Data Warehouse?
A data warehouse is a highly-structured repository optimized for analyzing relational data from transactional systems and business applications. In contrast, a data lake can store data in its native format, whether structured, semi-structured, or unstructured. This difference allows data lakes to handle a more diverse range of data types and provide a more flexible environment for data exploration and analysis.