基于大数据交互的全链路数据多维分析技术研究

Research on full link data multidimensional analysis technology based on big data interaction

为了解决传统全链路数据多维分析技术,存在数据存储效率低的问题,提出基于大数据交互的全链路数据多维分析技术。该技术针对数据的分级储存、降维处理、效率等问题进行研究,引入基于大数据交互方法对全链路数据进行有条理性的整理和深入分析,实现同时对全链路数据进行分级储存,将全链路数据多维化处理,利用降维处理完成多级储存。实验结果表明,传统的全链路数据处理技术只能对具有某种特征的数据进行处理,但是将数据升华为多维数据时,全链路数据的属性将会被混合,而基于大数据交互的全链路数据多维分析技术可以很好地分析数据属性,从而实现全链路大数据的高效处理。

In order to solve the problem of low efficiency of data storage in traditional multi-dimensional analysis technology of full-link data,a multi-dimensional analysis technology of full-link data based on big data interaction is proposed.The technology for data dimension reduction,efficiency of processing,such as problems are studied,based on large data interaction method of the data to get organized on the link and the thorough analysis,realize the classification for the whole link data storage,should will link all data multidimensional processing,use of dimension reduction processing multilevel storage.Experimental results show that the traditional full link data processing technology to process the data only to possess certain characteristics,but the data is sublimation of multidimensional data,the data link properties will be mixed,and based on the analysis of large data interaction all link data cube technology is a good way to analysis the data attribute,so as to realize the efficient processing of large data link.