Study on Lowclass Granularity Data Division Strategy in Data Warehouse
Yu Ge · Jisuanji gongcheng · 2006
A large amount of lowclass granularity data is existed in data warehouse,and the storage strategies of them are closely related to the performance and efficiency of on line analytical processing and data mining.After analyzing the types and characteristics of lowclass granularity dada in data warehouse,this paper discusses various static data division strategies,and studies some dynamic data division strategies caused by the variety from structure to content in detail,then a dynamic data division technique based on attributes compatibility and semantic equivalency is proposed.