Rapid data explosion of data generated by ordinary consumers and unstructured data has a great influence on how data is used. In the future, Big Data are used to make important decisions of the organization, and the desire to interpret various patterns hidden in many heterogeneous data, to predict the future and to find value is getting bigger, and it is demanding quick service based on the latest information. However, there are a lot of industrial cases that utilize Big Data, but most of them are based on practical cases. Big Data-based systems based on the Hadoop Ecosystem and Spring Framework with Big Data technology were lacking. Therefore, this study collects the data retrieved from the Naver blog on the basis of the Hadoop Ecosystem through the Spring Framework on the web of the next generation web standards. After loading the collected data on the Hadoop Distributed File System(HDFS) and HBase, we design and implement a big data utilization system that can visualize POS-tagging analysis results through word cloud using Twitter POS-tagging analyzer based on the loaded data. In the future, we will provide a reference model for the Big Data utilization system that utilizes the Hadoop Ecosystem and the Spring Framework using the next generation web standards.