Answer: Data lakehouse

The data lakehouse architecture is designed to simplify and unify siloed data architectures that were previously specialized for specific use cases. A data lakehouse combines the best features of data lakes (flexibility, scalability for unstructured data) and data warehouses (performance, reliability for structured data analytics), creating a unified platform that eliminates the need for separate specialized systems. This approach addresses the limitations of both data lakes (which lack transactional support and ACID compliance) and data warehouses (which are expensive and less flexible for diverse data types).

Author: Keng Suppaseth