Abstract: Various information systems have been constructed for national geological survey organization, which have generated massive multi−source and heterogeneous management data. Effective integration and analysis of these data are in dire needs, for the collaborative and intelligent management of the national geological survey. This paper creates a framework based on big data, GIS and data mining technologies. Related key technologies are proposed, involving automatic and dynamic data integration, hybrid data management by Hadoop and "data−lake−warehouse" architecture, and decision support model for geological survey management. Based on the above, National Geological Survey Management Big Data System was constructed, which has integrated data from 24 different sources automatically and dynamically, more than 150 million records and 200 thousand documents have been organized in one, and has supported management decision by data or analysis services. It has been proved that can solve the problem of data integration for decision−making support, and has promoted the management efficiency of the national geological survey.