它显示了来自数据集市的信息。
数据集市的建模过程取决于许多因素。
The data mart modeling process depends on many factors. Three of the most important are described below.
互连的数据集市架构基本上是分布式的实现。
Interconnected data mart architecture is basically a distributed implementation.
用来填充特定报告的数据集市表的相关信息。
Data about what data mart tables were used to populate a specific report.
验证数据集市设计没有违背任何业务安全性设置。
Verify that the data mart design does not violate any business security Settings.
特定用户群体的数据集市。
数据集市的建模极大地受到了数据分析技术的影响。
Data mart modeling is greatly affected by data analysis technologies.
可以随时根据用户的报表需求修改数据集市的数据结构。
The data mart's data structures can be changed at any time according to users' reporting needs.
您打算为具体到点的解决方案构建一个或多个数据集市吗？
Are you going to build one or more data marts for point-specific solutions?
其他的表格来自于一个数据集市，而不是直接来自于存储库。
Other tables come from a data mart, rather than directly from the repository.
数据传播：用于为数据集市聚集和增强数据的ETL过程。
Data propagation: ETL process to aggregate and enhance data for data marts.
此模式与用于构建数据仓库或数据集市的标准信息集成模式不同。
This pattern is different from standard information integration patterns used to build data warehouses or data marts.
在结构良好的BI系统中，数据仓库充当多个数据集市的一个源。
In a well structured BI system, the data warehouse serves as a single source for multiple data marts.
用来填充数据仓库、数据集市和多维数据集的源系统的相关信息。
Data about what source systems were used to populate the data warehouse, marts, and cubes.
终端用户只能访问授权给他们的数据集市，而非所有的数据仓库数据。
End users can only access the data mart granted to them, not all data warehouse data.
您在信息架构中是使用数据仓库、多维数据结构还是数据集市并不重要。
It doesn't matter whether you use a data warehouse, a cube data structure, or a data mart in your information architecture.
每个目标代表一个数据集市，每个数据集市在物理上位于一个特定区域中。
Each of the targets represents a data mart that is physically located within a particular region.
为了解决这个问题，您必须让服务器对存储库做一个快照，并更新数据集市。
To fix the problem, you had to force the server to take a snapshot of the repository and update the data mart.
实际上，它们甚至与其他工作组、部门或业务线中的数据集市没有任何连通性。
There may, in fact, not even be any connectivity with data marts in other workgroups, departments, or lines of business.
这意味着一个部门中的终端用户可以访问和使用另一部门中数据集市中的数据。
This means that end users in one department can access and use the data in a data mart in another department.
每个数据集市都可以处理可识别的业务问题或主题领域，从而可以计算roi。
Each data mart can tackle an identifiable business problem or subject area, making it possible to calculate ROI.
终端用户必须参与数据集市的建模过程，因为他们显然是要使用该数据集市的人。
End users must be involved in the data mart modeling process, as they obviously are the ones who will use the data mart.
除了单个服务数据集市，还考虑了大规模的数据仓库，并制定了惟一性数据需求。
Large scale data warehouses are considered in addition to single service data marts, and the unique data requirements are mapped out.
这些是WORKITEMS快照的一些表格，它显示了来自数据集市工作项的信息。
These are some of the tables in the WORKITEMS snapshot that show historical information about the work items from the data mart.
当针对数据集市运行时，没有嵌入产品系统可以利用历史数据来帮助识别过去的倾向。
When running against a data mart, the production system is not impacted and historical data is available to help identify trends over time.
仓库架构将决定数据仓库和数据集市本身的位置，以及控制所驻留的位置，或者反之。
The warehouse architecture will determine — or be determined by — the locations of the data warehouses and data marts themselves, and where the control resides.
他指出IBM的内部销售数据来自于300个数据集市和40 - 50个应用程序。
He noted that IBM's internal sales data was transformed from 300 data marts and 40-50 applications.
当您创建或者运行报告时，您一定要记住数据集市中的信息可能会滞后于存储库中的数据。
When you create or run reports, it's important to remember that the information in the data mart may lag behind the data in the repository.
数据集市模型对于捕获业务需求十分有用，因为它们通常由终端用户直接使用，且易于理解。
Data mart models are useful for capturing the business requirements because they are often used directly by end users, and are easy to understand.
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.
应用推荐