摘要
当大量复杂异构的数据不断进入数据仓库以后,最初的配置渐渐适应不了新的环境,因此数据仓库必须要设计成为可扩展的体系结构,从而能够满足将来数据仓库的性能要求,它能够随着数据、最终用户、复杂性和功能性的增长而增长,并且在增长的同时其性能水平并不会下降。文中通过对数据集成、高效查询和非规格化等几个可扩展数据仓库关键问题进行研究,使得当大量异构数据涌入可扩展数据仓库中时系统性能不会下降,很好地满足决策支持,取得较好效果。
Data warehouse should be designed with sealable architecture so that it can satisfy the need of future applications. When mass data and more users entering into the scalable data warehouse,the system can finish tasks well and maintain a good performance. Through researching and analysis on some key problems of scalable data warehouse , we can get a good effect on system performance when a great deal of heterogeneous data swarming into it. Data integration, effective index and non- normalization are used to maintain the performance of system,and satisfy the need of decision support.
出处
《计算机技术与发展》
2006年第12期136-138,共3页
Computer Technology and Development
关键词
可扩展
数据仓库
数据清洗
位图
非规格化
scalable
data warehouse
data cleaning
bitmap
nor - normalization
