数据仓库的数据库——特别是数据集市——与终端用户非常接近，它通常不具有固定的查询。
A data warehouse database — especially a data mart — is very near to the end user, and it usually does not have fixed queries.
物理数据模型是与数据库系统以及您将使用的数据仓库工具紧密相关的。
The physical data model is tightly related to the database system and data warehouse tools that you will use.
如果是在数据库中，若用于脱机处理的数据(例如数据仓库)与用于联机处理的数据存储在一起，就会降低系统速度。
In the case of a database, data used for offline processing (such as data warehousing) might slow down the system if stored along with data for online processing.
介绍了一个可用于数据库和数据仓库建模的CASE工具的设计与实现。
It introduced a design and implementation of a CASE tool used in the database and data warehouse modeling.
数据仓库数据经常是从整个企业的各种来源收集的，包括不同的应用、数据库与计算机系统等，因而可能是支离破碎和不一致的。
Warehouse data is often gathered from sources throughout an enterprise , including different applications , databases , and computer systems , and is likely to be fragmented and inconsistent.
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。
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.
这里利用数据仓库收集和存储决策与分析所需的历史数据，以克服传统数据库在该方面的不足。
Here we adopt DW (data Warehouse) to store the historical data used for decision and analysis to overcome the disadvantages of traditional DB.
与联机事务处理数据库不同，数据仓库不包含最近的信息。
Unlike on-line transaction processing databases, data warehouses do not contain the most current information.
本文首先就数据仓库与传统关系数据库作了一个简单比较，然后介绍了一种适合于数据仓库设计的方法。
This paper first compares data warehouse with traditional relation database, then introduces a method for designing data warehouse.
由于大多数人都熟悉商品关系数据库系统，将数据仓库与之比较，就容易理解什么是数据仓库。
Since most people are familiar with commercial relational database systems, it is easy to understand what a data warehouse is by comparing these two kinds of systems.
最后，数据仓库与操作数据库分离是由于这两种系统中数据的结构、内容和用法都不相同。
Finally, the separation of operational databases from data warehouses is based on the different structures, contents, and USES of the data in these two systems.
最后，数据仓库与操作数据库分离是由于这两种系统中数据的结构、内容和用法都不相同。
Finally, the separation of operational databases from data warehouses is based on the different structures, contents, and USES of the data in these two systems.
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