基于数据社区的综合服务大数据交易平台设计

Design of Big Data Transaction Platform for Integrated Services Based on Data Community

大数据交易对数据的流通和共享有着重要作用,交易平台是进行大数据交易的基础,其发展与完善直接影响着大数据交易的效率。现有的交易平台存在数据质量参差不齐、数据定价困难、供需匹配不吻合等方面的不足,对交易平台还有很大的修改和完善空间。在分析现有大数据交易平台不足的基础上,借鉴了国外大数据交易平台对数据社区的应用,设计了基于数据社区的综合服务大数据交易平台,该交易平台主要包括数据、服务和管理三大模块。该平台的设计增加了大众的参与,增强了数据增值服务,更好地匹配了用户的需求,降低了产品定价的难度,同时也优化了交易平台的市场推广和监管模式,有效提高了数据利用率。

The big data transaction plays an important role in the circulation and sharing of data. The transaction platform is the basis for big data transactions. Its development and improvement directly affect the efficiency of the big data transactions. The existing transaction platforms have some shortcomings such as uneven data quality,difficulty in data pricing,and inconsistent matching between supply and demand,etc.There is still much room for the modification and improvement for the transaction platform. Based on the analysis on the shortcomings of the existing big data transaction platform,and drawing on the application of the data community in foreign big data transaction platform,this paper designs a big data transaction platform for integrated services based on data community,which mainly concludes three modules including data,service and management. The design of the platform increases the participation of the public,enhances data value-added services,better matches the needs of users,reduces the difficulty of product pricing,and optimizes the marketing and supervision mode of the transaction platform,effectively improves the data utilization rate.