Corporate Information Factory 2E 2nd Edition

Corporate Information Factory 2E 2nd Edition book cover

Corporate Information Factory 2E 2nd Edition

Author(s): W. H. Inmon (Author)

  • Publisher: John Wiley & Sons
  • Publication Date: 18 Dec. 2000
  • Edition: 2nd
  • Language: English
  • Print length: 404 pages
  • ISBN-10: 9780471399612
  • ISBN-13: 9780471399612

Book Description

The “father of data warehousing” incorporates the latest technologies into his blueprint for integrated decision support systems

Today’s corporate IT and data warehouse managers are required to make a small army of technologies work together to ensure fast and accurate information for business managers. Bill Inmon created the Corporate Information Factory to solve the needs of these managers. Since the First Edition, the design of the factory has grown and changed dramatically. This Second Edition, revised and expanded by 40% with five new chapters, incorporates these changes. This step-by-step guide will enable readers to connect their legacy systems with the data warehouse and deal with a host of new and changing technologies, including Web access mechanisms, e-commerce systems, ERP (Enterprise Resource Planning) systems. The book also looks closely at exploration and data mining servers for analyzing customer behavior and departmental data marts for finance, sales, and marketing.

Editorial Reviews

From the Inside Flap

The father of the data warehouse incorporates the latest technologies into his blueprint for integrated decision support systems

Having invented the corporate information factory (CIF) to help IT and database managers cut through the jungle of information technologies out there, bestselling author Bill Inmon again teams up with experts Claudia Imhoff and Ryan Sousa to show you how to integrate all key components of the modern information system architecture in a way that meets your evolving business needs.

You’ll get clear explanations on how to integrate the enterprise data warehouse with a host of new technologies and solutions that have emerged since this groundbreaking work was first published in 1998. You’ll also discover how to leverage these technologies to ensure broad access to information for end users, while reducing costs and improving scalability across the enterprise. Ultimately, you’ll learn to design, build, and implement a company-wide information ecosystem that:
* Integrates with legacy systems and the Web
* Leverages third-party ERP, CRM, and eBusiness applications
* Exploits the latest in data exploration and mining technologies
* Takes advantage of low-cost alternative storage
* Scales across the enterprise through the use of data marts and operational data stores
* Accommodates the use of multiple data warehouses
* Can start small and grow incrementally

From the Back Cover

The father of the data warehouse incorporates the latest technologies into his blueprint for integrated decision support systems

Having invented the corporate information factory (CIF) to help IT and database managers cut through the jungle of information technologies out there, bestselling author Bill Inmon again teams up with experts Claudia Imhoff and Ryan Sousa to show you how to integrate all key components of the modern information system architecture in a way that meets your evolving business needs.

You’ll get clear explanations on how to integrate the enterprise data warehouse with a host of new technologies and solutions that have emerged since this groundbreaking work was first published in 1998. You’ll also discover how to leverage these technologies to ensure broad access to information for end users, while reducing costs and improving scalability across the enterprise. Ultimately, you’ll learn to design, build, and implement a company-wide information ecosystem that:
* Integrates with legacy systems and the Web
* Leverages third-party ERP, CRM, and eBusiness applications
* Exploits the latest in data exploration and mining technologies
* Takes advantage of low-cost alternative storage
* Scales across the enterprise through the use of data marts and operational data stores
* Accommodates the use of multiple data warehouses
* Can start small and grow incrementally

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