The schema of a data warehouse is not identical to the transactional schema.
数据仓库的模式与事务性模式不同。
An OLAP solution is sometimes misleadingly called a data warehouse solution.
OLAP解决方案有时候被错误地称为数据仓库解决方案。
A data warehouse is designed for storing integrated business-wide historical data.
数据仓库是为存储集成的业务范围的历史数据而设计的。
A data warehouse is a storage facility for read-only, historical and aggregated data.
数据仓库是用于只读、历史和聚合数据的存储设施。
Consider a company with the head office in New York and a data warehouse in San Jose.
考虑一家公司的总部在纽约，而数据仓库在圣何塞。
This is a list of roles; one person can have multiple roles in a data warehouse project.
这是一个角色列表；一个人在数据仓库项目中可以具有多重角色。
Unlike single-subject data marts, a data warehouse encourages deeper levels of analysis.
有别于单一目的的datamarts数据仓库支持更深层次的分析。
A data warehouse architect, who is the key person in data discovery and data warehouse design.
数据仓库架构师，是数据发现和数据仓库设计中的关键人物。
The data in a data warehouse is cleansed and scrubbed during the data transformation processes.
在数据转换过程中，清洗并清理了数据仓库中的数据。
This is especially important for a data warehouse versus a data conversion to an ERP system.
与向ERP系统进行数据转换相比，这对于数据仓库更重要。
In fact, I see IWA replacing the need for many of the summary tables I design in a data warehouse.
事实上，我们已经看到，IWA取代了我在数据仓库中设计的汇总表中的许多需求。
Although a data warehouse delivers many new benefits, it doesn't solve the problem of analytic silos.
尽管数据仓库带来许多好处，但是仍无法完全解决数据一致性的问题。
This article is written for it professionals who want to know how to deliver a data warehouse solution.
本文是为需要知道如何交付数据仓库解决方案的IT专业人士撰写的。
Matching up grain levels when building comparisons is a critical concept in designing a data warehouse.
在构建比较时匹配粒度级别是数据仓库设计中的关键概念。
The set of combined business objectives in a data warehouse project can help determine the project scope.
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。
My last column discussed why and how we use dimensional modeling to organize the data in a data warehouse.
我在上一专栏中讨论了为何以及怎样利用维度建模，在数据仓库中组织数据。
To succeed at building a data warehouse we must work closely with the owners of the legacy data sources.
要成功地构建数据仓库，我们必须与遗留数据源的所有者密切协作。
Understanding the customer? S data environment is one of the most important tasks in a data warehouse project.
理解客户的数据环境是数据仓库项目中最重要的任务之一。
An IBM customer in the industrial sector implemented a data warehouse without employing data quality analysis.
工业领域的一家IBM客户实现了一个数据仓库，但是没有进行数据质量分析。
There is often a huge amount of data that needs to be processed regularly in a data warehouse environment.
数据仓库环境通常要定期处理大量数据。
My last two columns discussed why and how we use dimensional modeling to organize the data in a data warehouse.
我的上两个专栏讨论了我们使用维度建模来组织数据仓库中的数据的原因和方式。
A data warehouse to support decision making is a typical example of the use of a data consolidation pattern.
数据仓库可以用来支持决策制定，这是数据整合模式应用的一种典型的示例。
For the purpose of this discussion, let's assume that you're building a data warehouse for the entire enterprise.
出于本文的目的，让我们假设您将为整个企业构建一个数据仓库。
The customer engagement process of a data warehouse solution is similar to that of other IT solutions in some ways.
数据仓库解决方案的客户互动过程与以某种方式进行的其他IT解决方案的相似。
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 Volume: There is often a huge amount of data that needs to be processed regularly for a data warehouse environment.
数据量：对于一个数据仓库环境，常常需要对巨量的数据进行常规性的处理。
A data warehouse should have all the components in the business intelligence infrastructure pictured in the figure above.
数据仓库应具有上图中所描述的商业智能基础设施中的所有组件。
The approach generally fits well with a data warehouse system since all data is in one table without the need for table joins.
这种方法通常比较适合数据仓库系统，因为所有数据都在一张表里，不需要做表连接。
A data warehouse database — especially a data mart — is very near to the end user, and it usually does not have fixed queries.
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。
You would prefer not to (or can't wait to) move performance data to a data warehouse and run queries and analytics against it.
您肯定不希望（或无法等待）将性能数据移动到数据仓库，然后再对它运行查询和分析。
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