Traditional data warehouses were designed for workloads 20 years ago, struggling to meet modern business demands of volume, velocity, and user demand. Companies invested heavily in legacy systems but now face challenges to leverage these investments for real-time insights. The "flying car dilemma" highlights the need to modify a traditional system to adapt to changing requirements, which is unlikely to work long-term. Instead of replacing or rip-and-replacing a legacy system, companies can take an approach similar to FedEx's drone delivery model, where they isolate high-demand workloads on modern real-time data warehouses and continue using legacy systems for lower-demand tasks. This pragmatic approach allows for incremental adoption and simplification over time, reducing the need for costly ETL tools and complex processes.