A Hadoop-based Research On The Cloud Management Of Enterprise Geo-information Resource

The advent of the large data age makes the management of enterprise data assets more important.With the development of large data technology and mobile internet technology,as well as the continuous progress of geographic information collection technology,the geographic information resources are exploding.The traditional data resource management technology will waste a lot of storage and computing resources in the face of the growing mass of data.The storage and management of massive geospatial data has become a hot topic in the present research.At present,there are many business methods to manage data resources,but have the limitations of high deployment cost,poor compatibility of data,and difficulty in customizing background service interface.Cloud computing,as a new management method of large data resources,has received wide attention in many fields.Hadoop is an important method of building resource management cloud Platform,because of its open source,it has developed a variety of large data resource processing framework.Cloud computing technology can integrate fragmented storage and computing resources,improve resource utilization,and greener.It can provide a kind of inspiration for the management of all kinds of geographic information resources.Based on this,this paper designs a cloud resource management framework based on open source distributed large data platform for the management of massive geographic information resources.The processing framework uses Hadoop to deploy cloud clusters and coordinate with hbase large Data Warehouse and Full-text search technology for distributed storage and management of massive geographic information resources.The experimental results show that this framework improves the management efficiency of the large amount of small file,overcomes the limitation of the query of Chinese interest point data,and provides the data service in the service way,which is advantageous to the centralized management of the data.The proposed architecture is reasonable and feasible,and it can provide a reference for the construction of massive geo-information resource cloud management platform for large data environment.