In the restaurant industry, analyzing customer preferences is just as important as serving great food. Imagine how many “friend groups” dine together every week and how their choices influence what ends up being the most popular dishes. This is where big data concepts like MapReduce come in handy. However, restaurants can use similar techniques to understand patterns—such as how often groups of friends order the same meals or how menu pairings trend across locations. By applying this kind of analysis, restaurant owners can better design menus, manage inventory, and create dining experiences tailored to real customer behavior.