数据集市中的业务数据只能来自业务数据仓库。
The business data in the data mart can only come from the business data warehouse.
业务数据仓库：仓库数据存储库的数据库。
Business data warehouse: warehouse data repository databases.
本文结合大连人寿保险公司保险业务数据仓库项目来阐述针对目前存在问题的解决方法。
This paper introduces the means to deal with the question and China Life Insurance Company Dalian Branch Data Warehousing project.
在该模型中，业务数据仓库是数据存储库数据库(模块)的集合，而数据集市则是数据集市层中的数据库。
In this model, the business data warehouse is the collection of data repository databases (module), and the data marts are the databases from the data mart tier.
文章主要介绍了数据仓库的概况，并以保险代理业务数据仓库为实例进一步提出了建立其数据仓库的概念模型和逻辑模型设计方案。
This paper mainly introduced the data warehouse, and as a insurance agency data warehouse for an example, we presented the concept model and logical model of the data warehouse.
这些改进对于使用大型业务智能化(BI)应用程序和数据仓库的组织尤其有意义，因为它们依赖于索引和临时表。
These enhancements will be of particular interest to organizations with large business intelligence (BI) applications and data warehouses, which depend on indexes and temporary tables.
领域专家，为数据仓库设计提供业务领域知识。
Domain experts, who provide business domain knowledge for the data warehouse design.
理想情况下，数据仓库的结构提供一个针对业务用户想问的所有问题的汇总表。
Ideally, the structure of the data warehouse offers a summary table for any question that business users want to ask.
一个给定的数据仓库项目可能具有一个或更多业务对象。
A given data warehouse project can have one or more business objectives.
本文将关注数据仓库计划，其中包括客户互动过程、业务发现、项目建议以及项目计划。
This article focuses on data warehouse planning, which includes the customer engagement process, business discovery, project proposal, and project plans.
然而，请记住高级数据仓库设计应该包括所有的业务主题领域。
However, keep in mind that high-level data warehouse design should include all business subject areas.
维度建模的目标是优化数据仓库数据，以便业务用户轻松查询和分析。
The goal of dimensional modeling is to optimize warehouse data for easy queries and analysis by business users.
在完美的世界中，在客户互动的开始，您可能拥有完整的数据仓库项目的书写业务需求集。
In a perfect world, you may have a complete set of written business requirements for a data warehouse project at the beginning of the customer engagement.
数据仓库项目中的联合业务对象集可以帮助确定项目范围。
The set of combined business objectives in a data warehouse project can help determine the project scope.
在构建查询时，它为终端用户所带来的便利是：他们使用数据仓库越多，获得的业务收益也就越大。
The simpler it is for end users to build a query, the more they will use your data warehouse, and the more business benefit it will provide.
涉及多个计划。例如，业务应用程序重写并需要绑定到数据仓库。
Multiple initiatives are involved, such as business application rewrite along with a requirement to tie into a data warehouse.
当数据在数据仓库中存放了一段时间后，对于业务用户来说它就不再有用了，因此需要删除它们，为新数据腾出空间。
After data has resided in the data warehouse for some period, it is no longer useful to business users and needs to be removed to make room for new data.
随着越来越多的业务依赖XML来表示和交换业务数据，将XML运营数据整合到数据仓库中的能力变得更重要了。
As more businesses rely on XML to represent and exchange business data, the ability to integrate XML operational data into data warehouses becomes more critical.
这就需要涉及参与数据仓库实现的每个工作组、部门或业务线中的人员。
This brings with it the need to involve people from each of the workgroups, departments, or lines of business that will be participating in the data warehouse implementation.
主数据通常有很多用途(运营系统、数据仓库、业务流程、数据治理等)，不同用途有不同的需求。
There are typically many USES of master data (operational systems, data warehouses, business processes, data governance, and so on) and they have very different requirements.
分析组件，包括数据仓库(DW)和业务绩效报告应用程序的关键部分。
The analytics components, including the key parts of a Data Warehouse (DW) system and a business performance reporting application.
例如，业务对象可以是：“数据仓库必须支持操作成本的分析，以及产品销售利润的分析。”
For example, a business objective could be: "the data warehouse has to support the analysis of operational costs, and the analysis of profit from the sale of products."
实际上，在最高的集成层次上，它们可以成为业务范围的数据仓库。
In fact, at the highest level of integration, they can become a business-wide data warehouse.
数据仓库中所有数据聚合的业务定义是什么？
What are the business definitions of all data aggregation in the data warehouse?
最适合于该工作的是一位有经验的分析员，应具有较强的业务和人员技能以及关于数据仓库和数据建模的合理知识。
The best fit for this job is an experienced business analyst with strong business and people skills, as well as reasonable knowledge of data warehousing and data modeling.
当使用数据模型捕获业务需求时，您就已经完成了数据仓库设计中的部分工作。
When you use data models to capture business requirements, you are already doing some part of the data warehouse design work.
XML使用的增长促使许多公司探索如何将XML运营数据集成到自己的数据仓库和业务智能环境中。
This growing use of XML is prompting many firms to explore how to integrate XML operational data into their data warehouses and business intelligence environments.
文件是常见的运营数据来源，业务需要将这些数据整合到数据仓库中。
Files are a common source of operational data that businesses need to integrate into their data warehouses.
分析性MDM还支持精确的业务智能化，可以与数据仓库和分析应用程序自动地同步数据对象和结构。
Analytical MDM also enables accurate business intelligence, and allows accurate objects and structures to be automatically synchronized with data warehouses and analytic applications.
模型包含所有必须的业务逻辑，从存储数据仓库中检索数据。
The Model contains all the business logic necessary to retrieve data from a persistent data store.
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