大数据分析流程框架的研究

Research on Framework of Big Data Analytic Process

随着信息技术的不断创新,信息量的不断扩大,大数据已经成为了与日常生活息息相关的话题。挖掘大数据的价值已经炙手可热,如何能够更高效、更快速地分析大数据已经成为大数据发展的重要挑战之一。近年来,学术界与工业界就大数据的分析进行了研究,取得了一些研究成果,但针对大数据分析的研究还是非常有限。文中首先从传统数据仓库与大数据时代数据仓库作了对比,引入了大数据的分析流程框架,对分析流程框架的各个部分做了一一阐述,并通过实验验证分析了流程框架的可行性。

With the innovation of information technology,expanding the amount of information,big data has become a topic of everyday lives. Mining the value of big data has been important,and how to analyze big data,more efficiently and more quickly,has become one of the vital challenges of big data development. In recent years,academia and industry on the analysis of big data study,have gained some achievements,but the research for big data analysis is still very limited. In this paper,firstly make a comparison for the traditional data warehouse and data warehouse of big data era,and introduce the framework of big data analytic process. Show the whole parts of the framework in detail,and through doing an experiment to test feasibility of the framework.