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Data Stores, Data Warehousing, and the Zachman Framework:...

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Click here to buy Data Stores, Data Warehousing, and the Zachman Framework:... by  William H. Inmon, John A. Zachman, and Jonathan G. Geiger. Data Stores, Data Warehousing, and the Zachman Framework:...
by William H. Inmon, John A. Zachman, and Jonathan G. Geiger
Sales Rank: 252952
0.0 out of 5 stars
$53.98
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on 8-31-2008.
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Features
  • Cover Type: Paperback with 358 pages
  • Published by: Computing Mcgraw-Hill May 1997
  • Written in: English
  • ISBN 10 Number: 0070314292
  • ISBN 13 Number: 978-0070314290
  • Book Dimensions: 9.2 x 7.5 x 1 inches
  • Weighs: 1.7 pounds

Book Description
Today's corporations are increasingly using data warehouses and data stores as repositories for the vast amount of data they generate. The Zachman Framework is a framework to organize and analyze data so it can be turned into a source of knowledge. Here is the first and last word on this hot topic, from the father of data warehousing, William Inmon and John Zachman, inventors of the framework. The book explains how companies can apply the Zachman Framework to their own data warehouses and stores, and shows through case studies how to manage knowledge about the enterprise.

Back Cover Copy
Let the masters show you how to get real knowledge out of your data repository! Does your organization merely collect data? Or do you convert it into something of value into information that is easily accessible in the right form at the right time and, further, into the kind of knowledge that provides an edge in a fast-changing, competitive environment? As companies have awakened to the need for an architected approach to data storage and knowledge management, they've consistently turned to the father of this technology-W.H. Inmon-for the answers. Now Inmon has teamed with John a. Zachman, the highly acclaimed inventor of the warehousing breakthrough known as the Zachman Framework and noted data warehousing practitioner Jonathan G. Geiger to show you how to go from managing data to managing knowledge. Step by step, you'll learn: Why data architecture is crucial; Why approaches of the past have failed; How the Zachman Framework has transformed and enhanced the traditional Data Administration role; How to use the Framework to develop your data warehouse and metadata strategy; How to apply the Framework to use the data warehouse as a stepping stone for attaining an architected systems environment; How to migrate legacy systems; How corporate management can apply the Framework to suupot TQM and reengineering efforts; How to make the transition into knowledge management. ABOUT THE AUTHORS W.H. Inmon is the father of the data warehouse concept and the author of more than thirty books on data management. John a. Zachman is the creator of the Zachman Framework and is a highly sought after speaker and consultant on the subject. Jonathan G. Geiger is an independent consultant specializing in data warehouse development. environment; How to apply the Framework to use the data warehou

Reader Reviews
Instead of the traditional life cycle, or "waterfall" approach to development, the Zachman framework presents architecture for organizing the perspective of the planner, owner, builder, designer and programming subcontractor. Traditionally we may be very good at thinking about data and function, but Zachman adds the dimensions of network, organization, schedule and motivation. Laying out these perspectives in a matrix allows the different roles to communicate better. In the framework matrix, for some combination of perspectives there are tools available, but for many there are not, so the methodology is uneven. The framework presents an organization of metadata associated with organizing the artifacts or a project, particularly emphasizing the important of metadata about people, location, and motivation. If your are looking for a warehouse design/blue print book, addressing data staging or star schemas then this book is not the best for you, but if you are looking for a book that offers a means of communicating between the data roles and stresses the need for guiding principles this book would be useful. Comment (1) | | (Report this)


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