The text discusses the misconception around "small data" and its relation to big data technologies. It clarifies that not every large dataset requires a big data solution; in fact, small data technologies like cloud data warehouses can be more efficient for certain use cases. The author emphasizes that using big data solutions for small data problems can lead to unnecessary expenses and complications. Furthermore, the text highlights the importance of having highly-trained data engineers and realistic expectations when dealing with big data projects.