融合数据分析服务的大数据交易平台研究

Research on the Big Data Transaction Platform Combining with the Data Analysis Service

大数据交易平台是整个大数据产业的重要基础,既是国家政策支持的重点,也是当前大数据产业实际建设的热点,但目前有关大数据交易平台创新的研究还很匮乏。本文针对现有大数据交易平台的不足进行改进,设计了一种全新的融合数据分析服务的大数据交易平台,该交易平台包含大数据资源池、数据分析服务、协同中心三大核心模块,可以实现数据分析服务和数据资源的一体化交易。本文研究发现现有的大数据交易平台存在数据供需错配、大数据资源定价困难、数据的时效性不强三大不足。而融合后的新交易平台直接面向应用,从根本上避免了数据供需的错配,数据与服务的一体化交易也让定价更有依据,融合后数据采用云存贮模式,平台的深度参与让提供实时数据成为可能。除此之外,融合后还将扩大交易对象的覆盖范围,提升大数据交易的活力。

The big data transaction platform is the important foundation for the entire big data industry,which is not only the focus of national policy support,but also the central issue of the actual construction of the current big data industry.However,the present research is lack of research on the innovation of the big data transaction platform.Aiming at improving the deficiencies of the existing big data transaction platform,this paper designs a whole new big data transaction platform combining with the data analysis service.This transaction platform contains three core modules which are big data resource pool,data analysis service and coordination center,which can realize integrated transactions of data analysis service and data resource.This research finds out that the existing big data transaction platform has three major deficiencies which are data mismatch between supply and demand,big data resource pricing difficulties and not strong in the timeliness of the data.The new transaction platform which has combined with the data analysis service is directly for application,and fundamentally avoids the mismatch of the data supply and demand.The integrated transaction of data and services also allows the pricing more evidencebased.The new transaction platform adopts cloud storage model.The platform participating in deeply makes it possible to provide real-time data.Beyond that,the combination will also expand the scope of the transaction object coverage,and enhance the vitality of big data transactions.