Based on this model, an active data refresh algorithm to support multi-data warehouse was given. The model and the algorithm were then evaluated and validated through implementations and analysis.
基于该模型，给出了支持多数据仓库的主动数据更新算法，并证明了算法的正确性和可行性。
However, the data warehouse solution has some important differences, including: a strong orientation toward business data, multi-level iteration of the process, and more end-user involvement.
然而，数据仓库解决方案具有一些重要的不同，包括强大的面向业务的数据、进程的多层迭代以及更多终端用户的涉及。
If you're working on a multi-terabyte data warehouse, the test system may need to be smaller.
如果您使用的是几千兆的数据仓库，则测试系统可能需要小一些。
Based on the strict concept of data warehouse, the relations between data warehouse and multi dimensional database and the performances of data warehouse are explained.
在严格数据仓库概念基础上，说明了数据仓库与多维数据库之间关系及数据仓库的特性和优势。
We propose an efficient multi-dimensional analysis architecture and implement fiscal revenue and expenditure multi-dimensional analysis system based on data warehouse.
因此提出了一种有效的多维分析系统体系架构，在此基础上实现基于数据仓库的财政收支多维分析系统。
It is a new developing technology that data warehouse technology will adopt methods of confronting subject and multi-dimensional on-line analysis etc to undertake decision assistant.
数据仓库技术采用了面向主题、多维联机分析等方法进行辅助决策是一个新兴的技术。
Under data warehouse environment, the complex query of the mass data are met frequently, including the multi-tables join, gathers the computation and so on.
在数据仓库环境下，经常会碰到涉及大量数据的复杂查询，包括多表连接、聚集计算等。
Then it construct data warehouse and make the multi-dimensional data set of customers category, service type and time and so on.
然后构建数据仓库，建立以客户群类别、业务种类、时间等为维度的多维数据集。
Chapter Three introduced data warehouse, OLAP, multi-dimension at first, then discussed OLAP technique based on statistical data.
第三章首先介绍了数据仓库、OLAP与多维分析、OLAP的实施等内容，重点讨论了基于统计数据的OLAP技术。
Chapter Three introduced data warehouse, OLAP, multi-dimension at first, then discussed OLAP technique based on statistical data.
第三章首先介绍了数据仓库、OLAP与多维分析、OLAP的实施等内容，重点讨论了基于统计数据的OLAP技术。
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