例如，数据仓库架构可以在物理上分布或集中管理。
For example, the data warehouse architecture could be physically distributed or centrally managed.
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。
A data warehouse architect, who is the key person in data discovery and data warehouse design.
在1994年，一个BCBST白皮书创造了一个简单的数据仓库架构。
In 1994, a BCBST white paper led to the creation of a simple data warehouse architecture.
至少一位有经验的数据仓库架构师参与成功的数据仓库项目是十分重要的。
It is important to have at least one experienced data warehouse architect involved in a successful data warehouse project.
主要工作包括了设计数据仓库架构、转移数据、创建多维数据集、分析数据。
The most work includes designing DW frame, transacting data, building muti-dimension and analyze data.
例如，数据仓库架构师和数据建模者可以是同一个人，而领域专家和终端用户可以是同一组人员。
For example, the data warehouse architect and data modeler can be the same person, and the domain experts and end users can be the same group of people.
HIWAS将经过切除的数据转换为关系- XML混合数据库或纯关系数据库的数据仓库架构。
HIWAS converts the excised data into warehouse schemas for hybrid relational-XML or pure relational databases, Knoop explains.
既然已经具有关于高级数据仓库架构的一些决策，您就可以开始考虑数据仓库应该具有什么组件了。
Now that you have made some decisions about high-level data warehouse architecture, you can begin to consider what components the data warehouse should have.
许多数据仓库的规模每年都会翻倍，因此我们可能想表示我们的架构是可扩展的，即使我们将选择在实际中，在随需的基础上扩展实际系统。
Many data warehouses will double in size annually, so we may want to show that our architecture is expandable even though we will choose to expand the actual system on an as-needed basis in practice.
举例来说，印度的团队可能拥有数据仓库，瑞士的团队可能拥有许多应用程序，而美国的基础架构团队可能拥有安全框架。
For example, a team in India may own the data warehouse, several applications may be owned by a team in Switzerland, and the security framework may be owned by an infrastructure team in the us.
在构建阶段，我们以进化的方式开发数据仓库，将“内容”放入精化阶段所开发的架构框架。
During the Construction phase we develop the data warehouse in an evolutionary manner, putting the "flesh" onto the architectural skeleton which we developed during the Elaboration phase.
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.
典型的数据集成架构把来自各个源系统的数据提取、转换和装载(etl)到数据仓库、数据集市和多维数据集中。
A typical data integration architecture involves data from various source systems being extracted, transformed, and loaded (ETL) into data warehouses, marts, and cubes.
多年来，我创建了一个用于测试informix新版本的中型数据仓库星型架构，并将它用于标准程序测试。
Over the years, I have built up a midsize data warehouse star schema that I use for testing new releases of Informix, and I used it for this benchmark.
然而，正式的数据仓库设计应该从数据仓库的架构开始。
However, the formal data warehouse design should begin with data warehouse architecture.
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.
精明的投资者知道数据仓库基础架构对于一个公司在竞争市场中保持战略优势是至关重要的。
The smart money knows that data warehouse infrastructure is critical to a company maintaining a strategic edge in competitive marketplaces.
因此，数据架构师正在评估将XML集成到数据仓库中的各种选择。
So, data architects are increasingly evaluating options for integrating XML into their data warehouses.
IWA技术以压缩格式将数据仓库星型架构中的记录载入内存，并使用新的列存储技术来组织数据。
IWA technology loads the records from a data warehouse star schema into memory in a compressed format, and organizes the data using new columnar storage technology.
XML作为数据交换格式日益盛行，这促使数据架构师和管理员考虑采取什么方法将业务关键型XML数据集成到数据仓库。
Increased use of XML as a preferred format for data exchange is prompting data architects and administrators to evaluate options for integrating business-critical XML data into their data warehouses.
使用星型架构专用数据栈或数据仓库。
数据仓库-数据架构。
提出了客户数据仓库的总线架构和一个基本的事实星座模型。
This paper presented the data warehouse bus architecture and a basic fact constellation model.
探测数据仓库是决策支持架构，它的目的是为探测和增强查询提供安全接口。
The Exploration Warehouse is a DSS architectural structure whose purpose is to provide a safe haven for exploratory and ad hoc processing.
本文把数据仓库理论和实际的业务分析相结合，在数据仓库的建设、业务分析系统的软件架构方面开展了理论和实践工作，主要的工作表现在。
The thesis combines database theory with practical business analysis, developing theoretical and practical work in software structure of business system, its chief work is as followings.
本文探讨了数据仓库和数据挖掘技术在软件职业教育的应用，其逻辑架构和物理架构的构建。并介绍了数据挖掘技术在其中的应用。
This paper declares the logic and physical frames in software vocational education based on data warehouse and data mining, and introduces several methods of data mining in this system.
因此提出了一种有效的多维分析系统体系架构，在此基础上实现基于数据仓库的财政收支多维分析系统。
We propose an efficient multi-dimensional analysis architecture and implement fiscal revenue and expenditure multi-dimensional analysis system based on data warehouse.
本文首先在分析数据仓库的概念、特点及体系架构的基础上，指出了构建数据仓库ETL工具的必要性。
The text point out building the ETL Tool of Data Warehouse is essential after analyzing the concept, characteristic and architecture of Data Warehouse.
作者重点从数据仓库模型设计要点、国土资源一体化数据仓库整体模型架构、数据仓库模型设计规范三方面进行了详细设计。
The author detailed design in the design features of the data warehouse model, Integration of land and natural resources data warehouse architecture model as aw…
作者重点从数据仓库模型设计要点、国土资源一体化数据仓库整体模型架构、数据仓库模型设计规范三方面进行了详细设计。
The author detailed design in the design features of the data warehouse model, Integration of land and natural resources data warehouse architecture model as aw…
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