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Data warehousing = using the Wal-Mart model /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Data warehousing/ Paul Westerman.
其他題名:
using the Wal-Mart model /
作者:
Westerman, Paul.
出版者:
San Francisco, CA :Morgan Kaufmann, : 2001.,
面頁冊數:
xiii, 297 p. :ill. ;cm.
內容註:
What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.
標題:
Data warehousing. -
電子資源:
http://www.engineeringvillage.com/controller/servlet/OpenURL?genre=book&isbn=9781558606845An electronic book accessible through the World Wide Web; click for information
電子資源:
http://www.sciencedirect.com/science/book/9781558606845An electronic book accessible through the World Wide Web; click for information
電子資源:
http://www.loc.gov/catdir/toc/els031/00043408.html
電子資源:
http://www.loc.gov/catdir/description/els031/00043408.html
ISBN:
155860684X
Data warehousing = using the Wal-Mart model /
Westerman, Paul.
Data warehousing
using the Wal-Mart model /[electronic resource] :Paul Westerman. - San Francisco, CA :Morgan Kaufmann,2001. - xiii, 297 p. :ill. ;cm.
Includes bibliographical references (p. 283-285) and index.
What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.
<p> At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way. <p> What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution. * Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award. * Provides essential information for project managers, consultants, data warehouse managers, and data architects. * Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance. * Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more. * Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.
Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.
Mode of access: World Wide Web.
ISBN: 155860684X
Source: 97003:97003Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:
606996
Data warehousing.
Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: QA76.9.D37 / W47 2001eb
Dewey Class. No.: 005.74
Data warehousing = using the Wal-Mart model /
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What is data warehousing? -- Project planning -- Business exploration -- Business case study and ROI analysis -- Organizational integration -- Technology -- Database maintenance -- Technical construction of the Wal-Mart data warehouse -- Postimplementation of the Wal-Mart data warehouse -- Store operations sample analyses -- Merchandising sample analyses.
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<p> At 70 terabytes and growing, Wal-Mart's data warehouse is still the world's largest, most ambitious, and arguably most successful commercial database. Written by one of the key figures in its design and construction, Data Warehousing: Using the Wal-Mart Model gives you an insider's view of this enormous project. Continuously drawing from this example, the author teaches you the general principles and specific techniques you need to understand to be a valuable part of your organization's own data warehouse project, however large or small. You'll emerge with a practical understanding of both the business and technical aspects of building a data warehouse for storing and accessing data in a strategically useful way. <p> What further sets this book apart is its focus on the informational needs of retail companies-including both market and organizational issues that affect the data's collection and use. If retail is your field, this book will prove especially valuable as you develop and implement your company's ideal data warehouse solution. * Written by a member of the team of four engineers who designed and built the Wal-Mart Data Warehouse database, a team whose database design was recognized internally in 1991 by Wal-Mart with the company's Team Innovational Technical award. * Provides essential information for project managers, consultants, data warehouse managers, and data architects. * Takes an in-depth look at a wide range of technical issues, including architecture, construction approaches, tool selection, database system selection, and maintenance. * Addresses issues specific to retail business: vendors, inventory, sales analysis, geography, article categories, and more. * Explains how to determine business requirements at the outset of the project-and how to develop return on investment analyses after the warehouse has been brought online.
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