In data operations, optimizing build processes is critical to maintaining efficiency, especially when dealing with large-scale models. Building only the changed models ensures that workflows are faster, resources are conserved, and the overall process becomes more efficient. By building models incrementally, data teams can focus on areas that have been modified, avoiding the unnecessary rebuilding of unchanged models.