数据仓库与大数据融合的探讨

Discussion on Integration of Data Warehouse and Big Data

针对传统企业对非结构化数据缺乏有效利用的问题,探讨了基于数据仓库与大数据融合的企业大数据解决方案。根据数据仓库建设理论和下一代企业级数据仓库架构,利用Hadoop技术进行非结构化数据的收集、处理及存储,通过与传统数据仓库和BI工具共同协作,解决企业大数据应用困难的问题。数据仓库与大数据技术的融合解决了传统企业数据处理的障碍,从而推动大数据项目的实施。

In view of the traditional enterprise couldn＇t use such unstructured data efficiently, a big data solutions based on integration of data warehouse and big data was discussed. Based on the theory of data warehouse construction and architecture of the next-generation EDW, Hadoop was used to collection, processing and storage for unstructured data. By big data technology work together with traditional data warehouse and BI, to help enterprises to solve difficulties that applied. Integration of data warehouse and big data can resolve the difficulty on data processing and promote the implementation of big data projects.