【摘要】 设计并实现了具有多个OLAP服务器并行处理的多维数据分析系统。此系统占用较少的存储空间、具有较短的处理时间和较快查询速度。解决了传统系统中请求叶子数据聚合的查询速度慢的问题,同时还满足了系统的可靠性、不间断运行数据更新以及扩展性的要求。给出了系统的结构与原理、实现方法以及测试的结果。更多还原

【Abstract】 A data analysis system with multi-OLAP services that works parallelly is designed and implemented. This system has less storage space, less processing time and higher query speed. The speed of query requiring aggregation of leaf data, the reliability and continuous running during data update are essentially improved, then gives the structure, principle, implementing method and the test results of the system.更多还原