• In a data warehouse, this is not the case.

    在数据仓库中,情况不是这样的。

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  • The solution to this problem is a data warehouse.

    对此问题的解决方案是数据仓库。

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  • A data warehouse should be designed for data analysis.

    数据仓库应该是为数据分析而设计的。

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  • The system is used for both OLTP and a data warehouse.

    该系统可用于OLTP和数据仓库。

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  • Are you building a data warehouse for the entire enterprise?

    您打算为整个企业构建一个数据仓库吗?

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  • The problem is not that this company needs a data warehouse.

    问题并不是这家公司需要一个数据仓库。

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  • A data warehouse also contains different categories of data.

    数据仓库还可以包含不同类别的数据。

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  • Hive is a data warehouse infrastructure built on top of Hadoop.

    配置单元是一个建立在Hadoop顶部的数据舱库基础结构。

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  • Data is undoubtedly the primary element in a data warehouse project.

    数据无疑是数据仓库项目中的主要元素。

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  • For example, consider a data warehouse that tracks sales information.

    例如,请考虑一个跟踪销售信息的数据仓库。

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  • 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。

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  • The design of a data warehouse database is focused on query performance.

    数据仓库数据库设计的重点在于查询性能。

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  • The data that builds a data warehouse often comes from various data sources.

    构建数据仓库的数据通常来自各种数据源。

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  • 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。

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  • 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。

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  • 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。

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  • For example, in a data warehouse environment, there may be few changes in the data.

    例如,在数据仓库环境中,数据中可能只有少数几个地方做了修改。

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  • A data warehouse contains data that belongs to different information subject areas.

    数据仓库包含属于不同信息主题领域的数据。

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  • 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。

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  • One important characteristic of a data warehouse is that it contains historical data.

    数据仓库的一个重要特点就是它包含历史数据。

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  • 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。

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  • 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。

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  • A data warehouse is an integrated collection of databases rather than a single database.

    数据仓库是集成的数据库集合,而非单个数据库。

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  • 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。

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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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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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