Storage unification is a crucial concept in modern data architecture, aiming to present diverse storage systems as a cohesive resource through data virtualization. This approach facilitates the integration of real-time and historical data, particularly within lakehouses, while addressing key challenges such as lifecycle management, schema evolution, and performance optimization. The article outlines a conceptual framework for understanding the components and trade-offs involved in achieving effective storage unification.