• 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.

    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。

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  • However, the formal data warehouse design should begin with data warehouse architecture.

    然而,正式的数据仓库设计应该从数据仓库的架构开始。

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  • Since data warehouse and data mart are interchangeable concepts in many situations, it is necessary to specify their definition based on the two-tiered warehouse model.

    因为数据仓库和数据集市在许多情形中是可以交换的概念,所以有必要基于两层的仓库模型指定它们的定义。

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  • It is important to have at least one experienced data warehouse architect involved in a successful data warehouse project.

    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。

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  • Some observers predict that the data warehouse will go the way of the rotary phone dial, but rumors of the death of the data warehouse are greatly exaggerated.

    一些观察者预测,数据仓库将重蹈转盘电话拨号的覆辙,但关于数据仓库即将消失的谣传显然是夸大其辞。

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  • The data warehouse infrastructure plan describes the software, hardware, data network, and other elements that will support the data warehouse.

    数据仓库基础设施计划描述了软件、硬件、数据网络以及其他支持数据仓库的元素。

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  • As you can see, the logical data model is a living part of a data warehouse, used and maintained throughout the entire life cycle of the data warehouse.

    正如您可以看到的,逻辑数据模型是数据仓库的活动部分,在数据仓库的整个生命周期中使用和维护。

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  • This does not mean that a more business-wide data warehouse design will not be developed; it will be built incrementally as initial data warehouse implementations expand.

    这并不意味着不会开发更大业务范围的数据仓库设计;随着初始数据仓库实现的扩展,将逐渐增加对它的构建。

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  • 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。

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  • Analytics integration with data warehouses: First, an MDM System provides master data to the data warehouse for accuracy improvements in the data warehouse environment.

    与数据仓库的分析集成:首先,MDM系统把主数据提供给数据仓库,提高数据仓库环境的精确性。

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  • They anoint one data warehouse as the system of record or build a new enterprise data warehouse (EDW) from scratch.

    企业选择一个数据仓库或者从头创建一个新的企业级数据仓库。

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  • The primary purpose of a data warehouse is for data analysis — not to mix operational objectives with the data warehouse? S informational objectives.

    数据仓库的主要目的是进行数据分析——不要将操作目标与数据仓库的信息目标混淆。

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  • A bottom-up implementation involves the planning and design of a data warehouse without waiting for a more business-wide data warehouse design to be put in place.

    自底向上的实现包含数据仓库的计划和设计,无需等待安置好更大业务范围的数据仓库设计。

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  • The most important feature of a data warehouse is data integration, while the most important purpose of a data warehouse is informational data presentation.

    数据仓库最重要的特性是数据集成,而数据仓库最重要的用途是信息数据呈现。

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  • This data warehouse customer engagement process is based on the bottom-up (or phased) data warehouse implementation approach.

    该数据仓库客户互动过程是基于自底向上(或阶段性)数据仓库实现方法的。

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  • The selection of an implementation approach is a very important part of data warehouse design; the decision needs to be made at an early stage of the data warehouse project.

    实现方法的选择是数据仓库设计中的重要部分;该决策需要在数据仓库项目的早期阶段做出。

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  • For example, one data warehouse stores products shipped for a home supply retail chain, and a second data warehouse stores product support call logs for the products offered in the retail chain.

    比如,一个数据仓库保存发送给日用零售店的产品,另一个数据仓库保存零售店提供的产品支持电话。

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  • This type of data warehouse is commonly referred to as a hub-and-spoke data warehouse.

    这种类型被称为星型结构数据仓库。

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  • Jazz provides a data warehouse, as well as an extensible mechanism for gathering information to store in the data warehouse at periodic times.

    Jazz提供了数据仓库,以及用于收集信息以按定期时间在数据仓库中进行存储的可扩展机制。

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  • The only sure bet, it seems, is that Oracle is going to push its Exadata v2 data warehouse appliance built with Sun hardware as its core data warehouse.

    到目前为止,只有一件事是肯定的,那就是甲骨文将结合Sun的硬件,主推Exadata第二代来作为自己的核心数据仓库。

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  • Business data warehouse: warehouse data repository databases.

    业务数据仓库:仓库数据存储库的数据库。

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  • This article series will help you deliver the kind of data warehouse infrastructure that is essential to on-demand Business Intelligence, using IBM DB2 data warehouse Edition (DB2 DWE).

    本系列文章将帮助您使用IBMDB 2Data WarehouseEdition (DB 2 DWE)交付某种数据仓库基础设施,该基础设施对于随需应变的商业智能至关重要。

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  • If the data changes or if what you want to know changes-or if you want to combine the data with information from another stream or warehouse-you have to change the whole structure of the warehouse.

    如果数据更改,如果您希望知道的信息更改,或者如果您希望将数据与来自另一种渠道或数据仓库的信息相结合,您必须更改数据仓库的整体结构。

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  • Data warehouse systems are nowadays widely spread approach for OLAP. In order to integrate several data warehouses into a data warehouse, the technical and semantic problems must be solved.

    数据仓库系统正广泛用于联机分析处理系统,为了能将多个数据仓库集成到一起,需要解决技术上和语义上的一些问题。

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  • Materialized view is a method for improving the efficiency of queries in data warehouse system, the selection of it is a hot issue in data warehouse area.

    物化视图是数据仓库中提高查询效率的有力方法,物化视图的选择一直是数据仓库领域的研究热点。

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  • On the basis of a discussion on the basic strategy for building the education data warehouse, a study in depth is made of designing education data warehouse system.

    在讨论建立教育数据仓库基本策略的基础上,深入探讨了教育领域的数据仓库系统设计问题。

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  • The Loess Plateau data warehouse system is a distributed data warehouse including several heterogeneous da-ta sources.

    黄土高原数据仓库系统以分布式数据仓库为核心,包含多个异质数据源。

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  • This paper discusses main techniques in data warehouse design and management, such as data model, metadata, granularity, data segmentation, data integrating, distributed data warehouse.

    本文简要讨论有关数据仓库的主要设计技术与管理技术,包括数据模型、元数据、粒度、数据分割、数据集成以及分布式数据仓库等。

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  • Alternative Storage is the set of devices used to cost-effectively store data warehouse and exploration warehouse data that is needed but not frequently accessed.

    替代存储是这样一套设备,通常被用来低成本且有效的存储数据仓库数据,同时能够探测和访问那些必要但是低访问率的数据仓库数据。

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  • You might not know the workload of your data warehouse in advance, so a data warehouse should be optimized to perform well for a wide variety of possible query operations.

    你也许不能事先知道数据仓库的工作量,所以一个数据仓库需要被优化使在面对多种可能性的查询操作时依然能运行良好。

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