摘要
针对房地产信息系统积累的大量房产数据,研究并实现基于数据仓库及OLAP技术的房地产智能数据分析系统。首先建立了分离的数据仓库,并对数据仓库进行多维建模和多维分析;然后对多维数据模型进行了切片、切块、旋转、上钻和下钻等多维分析,从多角度进行房产数据分析,并计算房产指数;最后利用前端开发工具开发了可视化的多维分析和数据展示平台。实践表明,基于数据仓库的房产数据分析系统可以为房地产管理层和决策层提供高效的决策支持。
Based on the large amount data accumulated in the information system, the real estate data analysis system based on data warehouse and OLAP technology is studied and implemented. First, the independent data warehouse of the real estate is established and the multi-dimensional model is set up to make multi-analysis. And then the multi-analysis analyses such as slice, dice, rotate, roll-up, and drill-down are made in order to analyze the real estate data from multi-dimension. The real estate indices are computed. On this basis, the front-end development tool is used to develop the display platform for the data, which can be used for integration of visualization analysis. The experiments show that the real estate data analysis system can help the administrators and the decision makers of real estate area to make the efficient decision supports.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第17期4589-4592,共4页
Computer Engineering and Design
关键词
房地产信息系统
数据仓库(DW)
OLAP技术
多维数据模型
数据分析
real estate information system
data warehouse （DW）
on-line analytical processing technology
multi-dimensional data sets
data analysis
