Data management has traditionally forced organizations into an uncomfortable choice: use data warehouses for structured analytics or data lakes for flexible, large-scale storage. For years, this meant maintaining separate systems, duplicating data, and dealing with the headaches that come with disconnected infrastructure. The data lakehouse emerged as an answer to this problem, offering a unified approach that gives you the best of both worlds.