In last decade, smart factory is proposed and discussed generally. The most obvious difference between the recent smart factory and the traditional automation factory is that the techniques about internet of thing (IoT) are introduced. In IoT network environment, the related technologies of big data management are the relatively slow developing areas, and also the areas of vigorous development of related research. So many data from manufacturing equipments and defect detection equipments in smart factory needs organized techniques and design for big data monitoring in IoT network. However, traditional parallel design induces data lag or data missing of big data monitoring in IoT network. Therefore, this study presents a hierarchical design for big data monitoring in IoT network. A proposed data process and transfer module and proposed Supervisor Control And Data Acquisition (SCADA) software are applied in the experiments.