Answer: Data lakehouse

The data lakehouse architecture combines the best features of data lakes and data warehouses, providing a unified platform that can handle various data workloads including BI, analytics, machine learning, and real-time processing. This eliminates the need for separate siloed architectures specialized for specific use cases. **Key points:** - **Data lakehouse** serves as a single source of truth for multiple use cases - It unifies data storage and processing across different workloads - Eliminates the complexity of maintaining separate data lakes and data warehouses - Provides both the flexibility of data lakes and the performance/management capabilities of data warehouses

Author: Keng Suppaseth