找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Building a Data Warehouse; With Examples in SQL Vincent Rainardi Book 2008 Vincent Rainardi 2008 DBMS.Microsoft SQL Server.Reporting Servic

[復制鏈接]
樓主: 抵押證書
41#
發(fā)表于 2025-3-28 17:18:57 | 只看該作者
Testing Your Data Warehouse,s with any other IT system, after you build the data warehouse with its ETL and applications, you need to test it thoroughly. You need to go through six types of testing. I’ll introduce them here with a brief description, and in the rest of the chapter I will discuss them one by one:
42#
發(fā)表于 2025-3-28 21:56:45 | 只看該作者
https://doi.org/10.1007/978-0-387-77645-3nged within a data warehouse and how the data flows from the source systems to the users through these data stores. The . is about the physical configuration of the servers, network, software, storage, and clients. In this chapter, I will discuss the data flow architecture first and then the system
43#
發(fā)表于 2025-3-29 02:54:28 | 只看該作者
https://doi.org/10.1007/978-0-387-77645-3ature of the data in the organization, not to suit the people. I believe that all IT systems of any kind need to be built to suit the users. A system must be usable. If the system is not used, there is no point in building it. This usability concept is fundamental to this chapter, so keep that in mi
44#
發(fā)表于 2025-3-29 04:37:44 | 只看該作者
https://doi.org/10.1007/978-0-387-77645-3ment those data stores physically as SQL Server databases. For an experienced DBA, this should not be a problem. In the previous chapter, we defined all the columns, all the data types, and the relationships between tables. It should be quite straightforward to now create those tables, right?
45#
發(fā)表于 2025-3-29 10:50:31 | 只看該作者
46#
發(fā)表于 2025-3-29 14:33:06 | 只看該作者
Measurement, rounding and uncertaintyents, designing the data models, and creating the databases. In the past few chapters, I discussed how to populate the data warehouse, including extracting from the source system, loading the data stores, maintaining the data quality, and utilizing the metadata.
47#
發(fā)表于 2025-3-29 15:44:37 | 只看該作者
https://doi.org/10.1007/978-3-031-05318-4o the users. In this chapter, I will discuss another popular way of getting the data out—using multidimensional databases (MDBs). Multidimensional databases are mainly used for analytics and data mining applications. While you are learning in this chapter what multidimensional databases are, what th
48#
發(fā)表于 2025-3-29 20:53:13 | 只看該作者
49#
發(fā)表于 2025-3-30 00:16:51 | 只看該作者
Mathematics and Statistics for Sciencect new customers, performing business transactions with customers, servicing customers, and providing support to customers. Customers are the people (or parties) who a company or an organization serves; they’re the ones who consume its products or services. If the organization is not a company or bu
50#
發(fā)表于 2025-3-30 07:55:12 | 只看該作者
Madona Chartouny,Iman Osta,Nawal Abou Raadt, the BI manager creates the user guide, and the development team writes the system documentation and the support manual. Second, the business intelligence manager (BIM) trains the business users, and the development team trains the data warehouse administrator (DWA) and support desk personnel. Fin
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-16 13:54
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
岳西县| 绥化市| 蓝田县| 镇沅| 朝阳县| 大田县| 莒南县| 青海省| 茶陵县| 宾阳县| 南安市| 门头沟区| 石柱| 梅州市| 武平县| 铁岭县| 托里县| 九寨沟县| 阳谷县| 嘉定区| 唐山市| 富顺县| 柳江县| 永宁县| 溧水县| 嘉鱼县| 张北县| 芦溪县| 凤山县| 弥渡县| 张家口市| 双流县| 平塘县| 台州市| 北碚区| 法库县| 凤山县| 会东县| 吴旗县| 乌鲁木齐县| 诸城市|