ZHAO Ya'nan, LI Chaokui, XIAO Keyan, FAN Jianfu. 2019: Research on distributed storage method of geological and mineral big data based on Hadoop. Geological Bulletin of China, 38(2-3): 462-470.
    Citation: ZHAO Ya'nan, LI Chaokui, XIAO Keyan, FAN Jianfu. 2019: Research on distributed storage method of geological and mineral big data based on Hadoop. Geological Bulletin of China, 38(2-3): 462-470.

    Research on distributed storage method of geological and mineral big data based on Hadoop

    • With the advent of the era of big data of geology and mineral resources of terabytes and petabytes grades, geological large data storage problem has been bothering geologists. The traditional pattern of geological data storage and service faces many problems. In this paper, based on Hadoop, the authors put forward a new kind of geological and mineral resources data storage method based on cloud computing environment, and a comparative study of this method and the traditional storage method of the Oracle database data storage experiment was carried out. The experimental results show that the method proposed in this paper is more efficient than the traditional method and can effectively solve the problem of small file storage in Hadoop storage. The research results provide a new management method for the storage and management of geological and mineral data.
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