Phase 4: Designing the data mart.
阶段4：设计数据专用栈。
Case 4: Data mart population scenario.
案例4：数据集市填充场景。
Use a Star Schema Data Mart or warehouse.
使用星型架构专用数据栈或数据仓库。
Designing the data warehouse and data mart.
设计数据仓库和数据集市。
All other tables display data from the data mart.
所有其他的表格都显示了来自数据集市的数据。
Data mart modeling is driven by business requirements.
数据集市的建模是由业务需求驱动的。
CONTRIBUTOR, which shows information from the data mart.
它显示了来自数据集市的信息。
Also, BIRT can take advantage of the data mart as a cache.
同样，BIRT可以利用数据集市作为缓存的优势。
You can think of the data mart as a cache of the repository data.
您可以将数据集市想做是存储库数据的一个缓存。
Data mart modeling is greatly affected by data analysis technologies.
数据集市的建模极大地受到了数据分析技术的影响。
OLAP is one of the approaches to the analysis of the data in a data mart.
OLAP是对数据市场中的数据进行分析的方法之一。
Data about what data mart tables were used to populate a specific report.
用来填充特定报告的数据集市表的相关信息。
Other tables come from a data mart, rather than directly from the repository.
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。
Data mart: subset of a data warehouse in a more user-friendly data structure.
数据集市：更加用户友好的数据结构中的数据仓库的子集。
Most of the tables that are available to your reports come from the data mart.
报告中大多数的表格都来自于数据集市。
Interconnected data mart architecture is basically a distributed implementation.
互连的数据集市架构基本上是分布式的实现。
Verify that the data mart design does not violate any business security Settings.
验证数据集市设计没有违背任何业务安全性设置。
The business data in the data mart can only come from the business data warehouse.
数据集市中的业务数据只能来自业务数据仓库。
End users can only access the data mart granted to them, not all data warehouse data.
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。
A cube model is built to represent a data structure and relationship in an OLAP data mart.
多维数据集模型代表OLAP数据市场中的数据结构和关系。
Each of the targets represents a data mart that is physically located within a particular region.
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。
This is because it is not always feasible to consolidate enterprise data into a data mart or warehouse.
这是因为，将企业数据合并到专用数据栈或数据仓库之内并不总是可行。
The data mart modeling process depends on many factors. Three of the most important are described below.
数据集市的建模过程取决于许多因素。
Note: Multiple data marts are possible, however each data mart must have a unique TM1 server to publish too.
注意：有可能会有多个数据集市，但是每个数据集市都有一个独特的TM 1服务器要发布。
When talking about a data mart, many people might immediately think about multidimensional or OLAP analysis.
在谈到数据市场时，许多人可能会立即想到多维或OLAP分析。
This means that end users in one department can access and use the data in a data mart in another department.
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。
To fix the problem, you had to force the server to take a snapshot of the repository and update the data mart.
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。
Each data mart can tackle an identifiable business problem or subject area, making it possible to calculate ROI.
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。
Data warehousing deals with managing the development, implementation, and operation of a data warehouse or data mart.
数据仓库(data warehousing)处理对于数据仓库(data warehouse)或数据集市的开发、实现和操作的管理。
Data warehousing deals with managing the development, implementation, and operation of a data warehouse or data mart.
数据仓库(data warehousing)处理对于数据仓库(data warehouse)或数据集市的开发、实现和操作的管理。
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