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DW 2.0: The Architecture for the Next Generation of Data Warehousing (Morgan Kaufman Series in Data Management Systems) 1st Edition

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ISBN-13: 978-0123743190
ISBN-10: 0123743192
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Product Details

  • Series: Morgan Kaufman Series in Data Management Systems
  • Paperback: 400 pages
  • Publisher: Morgan Kaufmann; 1 edition (July 9, 2008)
  • Language: English
  • ISBN-10: 0123743192
  • ISBN-13: 978-0123743190
  • Product Dimensions: 7.5 x 0.9 x 9.2 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 3.6 out of 5 stars  See all reviews (8 customer reviews)
  • Amazon Best Sellers Rank: #317,764 in Books (See Top 100 in Books)

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Customer Reviews

Most Helpful Customer Reviews

33 of 34 people found the following review helpful By Erik Gfesser VINE VOICE on September 26, 2008
Format: Paperback Verified Purchase
Awareness of this book arose following my recent reading of a white paper on Data Vault data modeling by Dan Linstedt that a recent client of mine had suggested. And although I was not impressed with that white paper, what I found intriguing is that Lindstedt quotes Bill Inmon as saying that "the Data Vault is the optimal choice for modeling the EDW in the DW 2.0 framework." Thus the acquisition of this text by Inmon. Almost everyone vaguely familiar with this industry space is probably familiar with Bill Inmon and Ralph Kimball. What is interesting is that Inmon, the "Father of Data Warehousing", is credited alongside two other individuals with writing this text. It is not transparent as to who actually wrote most of the content for "DW2.0", but what is quickly apparent is that most of the statements contained in the book are generalities, and the vast majority of the diagrams are deplorable, consisting mostly of inferior clip art that adds little to nothing to the discussion. Most of the material is presented in a theoretical manner with very little practical substance. This reviewer hesitates to even recommend this latest Inmon effort to client management. Even outside the domain of data warehousing, there seems to be something amiss with what the authors attempt to present. For example, chapter 6 consists of a 17-page discussion on "methodology and approach", and for the first 7 pages of this chapter, the authors discuss the spiral, waterfall, and iterative methodologies.Read more ›
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23 of 25 people found the following review helpful By Uli Bethke on August 9, 2008
Format: Paperback
First of all, this book is not written with the DW novice in mind. Some of the chapters require a thorough understanding of DW theory and concepts.

Generally I found the book useful and I got some ideas that I will apply in one of my next projects. The biggest weakness of DW 2.0 is its lack in detail. In a lot of areas I found the book to be patchy and too high level. In my opinion DW 2.0 as presented in the book is not (yet) an elaborate data warehousing methodology.

What follows is a discussion of some of the more interesting concepts and chapters in the book.

(1) The different sectors of DW 2.0

To me it did not become fully clear what exactly the Interactive Sector is. Is it a cumulation of an enterprise's operational systems or is it a real time replication of these systems as an additional physical layer? A practical example really would have helped here. Personally I have my doubts if all the operational reporting requirements can be met by the Interactive Sector, e.g. how can a requirement that needs to query data from both the Interactive and Integrated Sector be met?

(2) Fluidity of technology sector

While this offers some interesting thoughts on how to shield the DW 2.0 from changes in business requirements and the operational source systems it only scratches on the surface. The idea as presented by the authors is to physically separate data that structurally does not change frequently (semantically stable date) from data that changes often (temporal data). From the book it does not become clear how this can be achieved. The only advice the authors give here is: "The answer is that semantically static and semantically temporal data should be physically separate in all database designs." (p.121).
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16 of 17 people found the following review helpful By Amazon Customer on December 22, 2009
Format: Paperback Verified Purchase
I bought this book because it had good reviews, however, after reading it I was extremely disappointed with Inmon as it does not appear to be a detailed discussion about data warehousing at all, but an over hyped book which tries to explain fundamental data warehousing techniques in a way that you would explain to a baby (repeated a thousand times and with diagrams of various shapes including triangles, circles, and squares). Seriously! Triangles, Circles and Squares!!!

This book is way overpriced for what it is and the fact that Inmon's name is printed on it, does not mean that the book follows Inmon's traditional data warehousing books. This book is different because it does not deliver much content nor does it deliver any new concepts, breakthroughs or strategies of building data warehouses today.

So whats in the book? Honestly, not much. Just very simple concepts scattered around the book in such little detail that it would be impossible to implementation or incorrect to apply in a real world scenario. For example, if you wanted to look at methods of correcting data in todays complex environments, you can turn to page 330 and find the most useless generic statement "A third approach of correcting values in DW 2.0 environment is the practice of finding bad records and then changing the values in those records". Really? So this is what an expert in the field has to say about it? I think not!

You can see DW 2.0 plastered all over the book for some of the most fundamental concepts that having nothing to do with the next generation of data warehousing, nor are many of these concepts discussed recommended for building the next generation of data warehouses.

If you would like to learn more about DW 2.
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DW 2.0: The Architecture for the Next Generation of Data Warehousing (Morgan Kaufman Series in Data Management Systems)
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