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Understanding and Implementing Successful Data Marts (A-W Developers Press) [Paperback]

Douglas Hackney (Author)
1.6 out of 5 stars  See all reviews (5 customer reviews)


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Book Description

August 15, 1997 A-W Developers Press
Data marts are beginning to emerge from the shadow of their all-encompassing, enterprise-scale cousins, data warehouses, as a more timely and cost-effective approach to organizing and accessing critical business data. Easier, quicker, and less expensive to design and implement, data marts can be designed to meet the specific needs ental concepts and guides you step-by-step through the entire data mart process, from the initial planning stages through implementation and maintenance. With an emphasis on "success," the author draws from his many years of real-world experience to reveal potential pitfalls and offer helpful tips that can make the difference between success and failure in the implementation of a working data mart. You will find thorough coverage of available technologies, fundamental design, specific methodologies, and industry trends. The two major types of data marts are covered: the subset data mart and the increasingly popular incremental data mart, with a special emphasis placed on integration issues.The book also details each step involved in the creation of a data mart: identifying business drivers, forming a team, surveying users, choosing among tools and design options, working with meta data, incorporating company culture into implementation strategy, and even training and support. In the process, you will learn about the different types of data mart designs and architectures, virtual data warehouses, data islands, decision dupport system tools, and much more. Acknowledging that plans don't always proceed smoothly, the author "reality checks"--highlighted sections that discuss what happens when data mart theory meets the reality of the workplace, where sponsors disappear, budgets shrink, and specifications change midstream. 0201183803B04062001

Editorial Reviews

From the Back Cover

Data marts are beginning to emerge from the shadow of their all-encompassing, enterprise-scale cousins, data warehouses, as a more timely and cost-effective approach to organizing and accessing critical business data. Easier, quicker, and less expensive to design and implement, data marts can be designed to meet the specific needs ental concepts and guides you step-by-step through the entire data mart process, from the initial planning stages through implementation and maintenance. With an emphasis on "success," the author draws from his many years of real-world experience to reveal potential pitfalls and offer helpful tips that can make the difference between success and failure in the implementation of a working data mart.

You will find thorough coverage of available technologies, fundamental design, specific methodologies, and industry trends. The two major types of data marts are covered: the subset data mart and the increasingly popular incremental data mart, with a special emphasis placed on integration issues. The book also details each step involved in the creation of a data mart: identifying business drivers, forming a team, surveying users, choosing among tools and design options, working with meta data, incorporating company culture into implementation strategy, and even training and support. In the process, you will learn about the different types of data mart designs and architectures, virtual data warehouses, data islands, decision dupport system tools, and much more.

Acknowledging that plans don't always proceed smoothly, the author "reality checks"--highlighted sections that discuss what happens when data mart theory meets the reality of the workplace, where sponsors disappear, budgets shrink, and specifications change midstream.

About the Author

Douglas Hackney is President of Enterprise Group, Ltd. and is a monthly columnist for Data Management Review. He has contributed to Computer World and speaks regularly at industry events, including DCI's Data Warehousing Conference, Bill Inmon's Data Warehousing Conference, and the Data Warehouse Institute. 0201183803AB05212002

Product Details

  • Paperback: 464 pages
  • Publisher: Addison Wesley Publishing Company; 1st edition (August 15, 1997)
  • Language: English
  • ISBN-10: 0201183803
  • ISBN-13: 978-0201183801
  • Product Dimensions: 9 x 7.3 x 0.9 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 1.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Best Sellers Rank: #2,370,581 in Books (See Top 100 in Books)

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Average Customer Review
1.6 out of 5 stars (5 customer reviews)
 
 
 
 
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2.0 out of 5 stars Not for db professionals, January 26, 1998
By A Customer
This review is from: Understanding and Implementing Successful Data Marts (A-W Developers Press) (Paperback)
An easy to read book for a senior manager, but is extremely repetitive. The book has a few good ideas but could be written more clearly in a shorter 100 page volume. If you need technical details look elsewhere.
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1 of 2 people found the following review helpful:
3.0 out of 5 stars Well laid out, April 21, 1999
By A Customer
This review is from: Understanding and Implementing Successful Data Marts (A-W Developers Press) (Paperback)
This book gives the reader the ability to read any chapter as a stand alone entity making it possible to make sense of any chapter without having to read the book from cover to cover. Good book.
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0 of 1 people found the following review helpful:
1.0 out of 5 stars Very tedious reading, September 9, 1999
By A Customer
This review is from: Understanding and Implementing Successful Data Marts (A-W Developers Press) (Paperback)
The author has some good ideas about data warehousing - especially interviews to gather end user requirements. Unfortunately, this book is written in such a casual, conversational, and, frankly, sloppy style that shortly into the book, reading it becomes practically unbearable. I have found that other technical books from the publisher of this book are well edited. It seems, though, the editors were MIA for this one.
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