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Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (Mcgraw-Hill Series on Data Warehousing and Data Management)
 
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Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (Mcgraw-Hill Series on Data Warehousing and Data Management) [Paperback]

William H. Inmon (Author), John A. Zachman (Author), Jonathan G. Geiger (Author)
3.5 out of 5 stars  See all reviews (6 customer reviews)


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Book Description

Mcgraw-Hill Series on Data Warehousing and Data Management May 1997
Today's corporations are increasingly using data warehouses and data stores for the vast amount of data they generate. For data to become a source of knowledge rather than simply a store of digital information, it needs to be managed, organized and analyzed - and database personnel the world over are turning to the Zachment framework to help them to build powerful and effective data warehouses. This work on the subject of data management presents the principles of data warehouse technology, and includes tips on building a simple data warehose with the Zachman framework. It also advises on how to make the corporate shift from managing data to leveraging information.


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From the Back Cover

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 30 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

Product Details

  • Paperback: 358 pages
  • Publisher: Computing Mcgraw-Hill (May 1997)
  • Language: English
  • ISBN-10: 0070314292
  • ISBN-13: 978-0070314290
  • Product Dimensions: 9.1 x 7.4 x 1.1 inches
  • Shipping Weight: 1.7 pounds
  • Average Customer Review: 3.5 out of 5 stars  See all reviews (6 customer reviews)
  • Amazon Best Sellers Rank: #686,423 in Books (See Top 100 in Books)

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Average Customer Review
3.5 out of 5 stars (6 customer reviews)
 
 
 
 
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6 of 8 people found the following review helpful:
5.0 out of 5 stars Intro to IS architecture from the masters, March 18, 1999
This review is from: Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (Mcgraw-Hill Series on Data Warehousing and Data Management) (Paperback)
The foreword talks of this book as one of the great books of our time on IS architecture and knowledge management and the book lives up to being just that. Expand your mind . Read this book . A must read for all those working on Decision support systems and Knowledge management.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars Maybe Worth Having, May 5, 2005
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This review is from: Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (Mcgraw-Hill Series on Data Warehousing and Data Management) (Paperback)
I wanted to love this book, but I really just ended up liking it. The presentation was complete and exhaustive, and that was a challenge. Ideas are often fragmented across chapters in deference to the book's organization and subject matter. I especially liked the glossary and the bibliography at the end.

I like the book's topics. I could find no faults with the ideas it presents. But this is NOT an introductory book by any means.

If you are a systems professional interested in data management, familiar with data warehousing and the Zachman Framework, then I think you will like this book too.

Otherwise this book is tough to recommend. It does describe the Zachman Framework really well, but there are other sources for that. It describes approaches to data warehouses and operational data stores, but again other sources to do that too and do it better, in my opinion.

Four stars for most of us data management types. Something less than that for the rest of us.
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5 of 7 people found the following review helpful:
4.0 out of 5 stars Helps relate warehousing to business use, April 27, 2000
This review is from: Data Stores, Data Warehousing, and the Zachman Framework: Managing Enterprise Knowledge (Mcgraw-Hill Series on Data Warehousing and Data Management) (Paperback)
This is a useful book that I have bought multiple copies of over the years and given to users and technical teams. The Zachman framework is an ideal way to represent views of systems that are useful for the various stakeholders, from business leaders to the technical staff. The book explains the various views in the framework completely and in plain English, useful for talking outside the IS shop and selling concepts. The value of this book is in how solidly it reinforces the critical nature of data and importance of good data management, even beyond the warehousing level.
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