请英语达人帮忙翻译下文章谷歌 有道直接翻译的就不劳大驾了,谢谢. 信息技术的飞速发展,数据库的数据存储量日益增长,隐藏在海量数据中的有价值信息愈加难以发现.如何从这些数据中提
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请英语达人帮忙翻译下文章谷歌 有道直接翻译的就不劳大驾了,谢谢. 信息技术的飞速发展,数据库的数据存储量日益增长,隐藏在海量数据中的有价值信息愈加难以发现.如何从这些数据中提
请英语达人帮忙翻译下文章
谷歌 有道直接翻译的就不劳大驾了,谢谢.
信息技术的飞速发展,数据库的数据存储量日益增长,隐藏在海量数据中的有价值信息愈加难以发现.如何从这些数据中提取有价值信息以供决策的需求应运而生.
本文采用SQL Server 2000,用Northwind数据库来模拟的外部数据源,通过创建数据仓库,进行DTS数据转换后将外部数据导入数据仓库中,然后运用SQL Server Analysis Service服务器,用Analysis Manager创建多维数据集,对数据进行深层次的分析处理,最后借用OLAP的客户端分析工具Excel的数据透视功能把分析结果进行展示.
请英语达人帮忙翻译下文章谷歌 有道直接翻译的就不劳大驾了,谢谢. 信息技术的飞速发展,数据库的数据存储量日益增长,隐藏在海量数据中的有价值信息愈加难以发现.如何从这些数据中提
The rapid development of information technology,data storage volume growing,hidden in the massive data in the value information more and more difficult to find.From these data to extract valuable information for decision-making needs emerge as the times require.
This paper uses the SQL Server 2000,with Northwind database to simulate the external data source,by creating a data warehouse,DTS data converted to external data into data warehouse,and then use the SQL Server Analysis Service server,Analysis Manager create cube,data on a deep analysis,finally using OLAP client analysis tools Excel pivot function the analysis results are displayed
The rapid development of IT, the database of the growing data storage, valuable information hidden in massive amounts of data become increasingly difficult to find. Emerged from these data to extract ...
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The rapid development of IT, the database of the growing data storage, valuable information hidden in massive amounts of data become increasingly difficult to find. Emerged from these data to extract useful information for decision-making needs.
In this paper, SQL Server 2000, simulated using the Northwind database to an external data source by creating a data warehouse, the DTS data transformation will import external data into the data warehouse, and then use SQL Server Analysis Service server, create a cube using Analysis Manager -depth analysis of the data processing, and finally borrowed the OLAP client analysis tools, Excel's PivotTable feature analysis results show.
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问题补充:补充一下,本人要比较精准的翻译,而不是网络上的机器翻译,谢谢I started from July 2005 sales in the fast moving consumer goods, from