Selected Readings on Database Technologies and Applications最新文献

英文中文

Rule Discovery from Textual Data 从文本数据中发现规则

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-59904-373-9.CH006

S. Sakurai

引用次数: 2

Node Partitioned Data Warehouses 节点分区数据仓库

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-098-1.ch024

P. Furtado

引用次数: 4

Discovering Quality Knowledge from Relational Databases 从关系数据库中发现高质量知识

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-098-1.ch004

O. M.MehdiOwrang

引用次数: 7

A Formal Verification and Approach for Real-Time Databases 实时数据库的形式化验证与方法

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-098-1.CH013

P. Neto, M. Perkusich, H. Almeida, A. Perkusich

引用次数: 5

Gender Discrepancies through the College Years 大学期间的性别差异

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-098-1.CH009

Christie L. McDaniel

引用次数: 0

Business Data Warehouse 业务数据仓库

Selected Readings on Database Technologies and Applications

Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-098-1.CH005

I. Bose

The retailing giant Wal-Mart owes its success to the efficient use of information technology in its operations. One of the noteworthy advances made by Wal-Mart is the development of the data warehouse which gives the company a strategic advantage over its competitors. In this chapter, the planning and implementation of the Wal-Mart data warehouse is described and its integration with the operational systems is discussed. The chapter also highlights some of the problems encountered in the developmental process of the data warehouse. The implications of the recent advances in technologies such as RFID, which is likely to play an important role in the Wal-Mart data warehouse in future, is also detailed in this chapter. IDEA GROUP PUBLISHING This paper appears in the book, Database Modeling for Industrial Data Management:Emerging Technologies and Applications edited by Zongmin Ma © 2006, Idea Group Inc. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com ITB11973 Business Data Warehouse: The Case of Wal-Mart 245 Copyright © 2006, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. Introduction Data warehousing has become an important technology to integrate data sources in recent decades which enables knowledge workers (executives, managers, and analysts) to make better and faster decisions (SCN Education, 2001). From a technological perspective, Wal-Mart, as a pioneer in adopting data warehousing technology, has always adopted new technology quickly and successfully. A study of the applications and issues of data warehousing in the retailing industry based on Wal-Mart is launched. By investigating the WalMart data warehouse from various perspectives, we review some of the critical areas which are crucial to the implementation of a data warehouse. In this chapter, the development, implementation, and evaluation of the Wal-Mart data warehouse is described, together with an assessment of the factors responsible for deployment of a successful data warehouse.

零售业巨头沃尔玛将其成功归功于在运营中对信息技术的有效利用。沃尔玛取得的一个值得注意的进步是数据仓库的发展，这使该公司比其竞争对手具有战略优势。在本章中，描述了沃尔玛数据仓库的规划和实施，并讨论了其与业务系统的集成。本章还重点介绍了数据仓库开发过程中遇到的一些问题。本章还详细介绍了RFID等技术的最新进展所带来的影响，RFID很可能在未来的沃尔玛数据仓库中发挥重要作用。本文出现在马宗民编辑的《工业数据管理的数据库建模:新兴技术与应用》一书中©2006,IDEA GROUP Inc. 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033-1240, USA Tel: 717/533-8845;传真717/533 - 8661;URL-http://www.idea-group.com ITB11973商业数据仓库:沃尔玛案例245版权所有©2006,Idea Group Inc.。未经Idea Group Inc.书面许可，禁止以印刷或电子形式复制或分发。近几十年来，数据仓库已成为集成数据源的重要技术，它使知识工作者(高管、经理和分析师)能够做出更好、更快的决策(SCN Education, 2001)。从技术角度来看，沃尔玛作为采用数据仓库技术的先行者，总是能够快速成功地采用新技术。以沃尔玛为例，对数据仓库在零售业中的应用及存在的问题进行了研究。通过从不同的角度研究沃尔玛数据仓库，我们回顾了对数据仓库的实现至关重要的一些关键领域。在本章中，描述了沃尔玛数据仓库的开发、实现和评估，以及对成功部署数据仓库负责的因素的评估。

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引用次数: 7

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