Big data is rapidly emerging as an interest in information technology around the world, and attention is focused on what value public institutions and companies will create through big data collected so far. Therefore, the big data management and system for the present inventors livestock disease occurrence information service constitutes the development stage as follows. First, the development of a big data collector module for livestock disease occurrence information that collects disease occurrence data provided from various sources from public/private organizations in real time through web portals, SNS, and intranets inside public institutions. Second, it is the development of a real-time storage manager module for livestock disease occurrence information big data that stores and manages the collected big data through the Hadoop Distributed File System (HDFS), and stores and manages it in a relational DB by real-time distributed parallel processing through the MapReduce framework. Third, it is the development of a big data analysis and visualization processor module for livestock disease occurrence information that analyzes data by subject using real-time data mining technology from stored livestock disease occurrence information data, and predicts classification, grouping, and disease occurrence trends. Finally, it is a livestock disease outbreak information analysis service system that effectively services disease outbreak statistics, disease outbreak policies, and disease outbreak predictions to strengthen national livestock disease outbreak response capabilities from the analyzed livestock disease outbreak information data.
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