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Data Mining with Microsoft SQL Server 2008 Paperback – October 31, 2008

ISBN-13: 978-0470277744 ISBN-10: 0470277742 Edition: 1st

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Product Details

  • Paperback: 672 pages
  • Publisher: Wiley; 1 edition (October 31, 2008)
  • Language: English
  • ISBN-10: 0470277742
  • ISBN-13: 978-0470277744
  • Product Dimensions: 9.4 x 7.5 x 1.2 inches
  • Shipping Weight: 2.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.2 out of 5 stars  See all reviews (13 customer reviews)
  • Amazon Best Sellers Rank: #396,534 in Books (See Top 100 in Books)

Editorial Reviews

From the Back Cover

The most authoritative book on data mining with SQL Server 2008

SQL Server Data Mining has become the most widely deployed data mining server in the industry. Business users—and even academic and scientific users—have adopted SQL Server data mining because of its scalability, availability, extensive functionality, and ease of use.

The 2008 release of SQL Server brings exciting new advances in data mining. This authoritative and up-to-date resource shows how to master all of the latest features, with practical guidance on how to deploy and use SQL Server data mining for yourself.

The author team begins with an introduction to the tools, techniques, and concepts necessary to leverage SQL Server 2008 data mining. The discussion progresses to a thorough look at the details of the SQL Server 2008 data mining algorithms. You'll discover how to integrate SQL Server data mining into other parts of the SQL Server Business Intelligence (BI) suite and extend SQL Server data mining for your own needs. Detailed, practical examples clearly explain how to implement successful data mining solutions with SQL Server 2008.

Data Mining with Microsoft SQL Server 2008 shows you how to:

  • Apply data mining solutions using Microsoft Excel

  • Use the data mining Add-ins for Microsoft Office

  • Understand how, when, and where to apply the algorithms that are included with SQL Server data mining

  • Perform data mining on online analytical processing (OLAP) cubes

  • Extend SQL Server data mining by implementing your own data mining algorithms and stored procedures

  • Use SQL Server Management Studio to access and secure data mining objects

  • Use SQL Server Business Intelligence Development Studio to create and manage data mining projects

The companion website includes the complete sample code and data sets that are featured in the book.

About the Author

Jamie MacLennan is principal development manager of the SQL Server Analysis Services at Microsoft. He has more than 25 patents or patents pending for his work on SQL Server Data Mining, and has written extensively on the data mining technology in SQL Server. ZhaoHui Tang is a principal group program manager at Microsoft adCenter and inventor of Keyword Services Platform. Bogdan Crivat is a senior software design engineer in SQL Server Analysis Services at Microsoft, working primarily on the data mining platform.


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Customer Reviews

4.2 out of 5 stars
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See all 13 customer reviews
The writing is clear and concise.
North Providence RI
This is an excellent hands-on book on learning core concepts of data mining with SQL Server 2008.
Satyen@AmazonEU
This is an excellent book for beginner to expert.
Patricia Carter

Most Helpful Customer Reviews

9 of 9 people found the following review helpful By Elena Cristofor on February 3, 2009
Format: Paperback
"Data Mining with Microsoft SQL 2008" is a great resource for learning how to perform data mining using SQL Server 2008 and Analysis Services 2008, with the added benefit that it is written by some of the people that influenced the design of the product. The presentation is clear and easy to read, and the content is rich in examples of using the Analysis Services data mining algorithms. Aspects such as how to create mining models, how to view them, and how to interpret results are covered in detail. An entire chapter is dedicated to creating plug-in algorithms, which is a powerful way of extending existing algorithms and implementing new solutions for a custom data mining problem. Another chapter covers mining data in Excel using the Data Mining Add-in for Excel, which I find to be very useful for experimenting with data sets and for quickly analyzing data. I recommend this book as a great source for gaining valuable knowledge if you are interested in Data Mining using SQL Server 2008 and Analysis Services 2008.

Disclaimer: I worked on the development of Analysis Services 2008 and I have reviewed some of the book samples.
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7 of 7 people found the following review helpful By Mnr R. Brits on December 17, 2008
Format: Paperback
This book was a very useful resource while developing a plug-in algorithm to the SQL Server Data Mining framework. I have had mixed results in the past trying to integrate into the framework, but both this book and the previous SQL Server 2005 version answered all my questions and helped me and my company to create a much improved product offering. With a little bit of time vague requests like "build a recommendation engine" can be turned into crowd pleasers, without having to delve into custom algorithm development and extensive research.

The price tag is a little steep, but the content is well worth it.
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4 of 4 people found the following review helpful By Patricia Carter on December 5, 2009
Format: Paperback Verified Purchase
This is an excellent book for beginner to expert. Contains tons of relevant information. Could have been more detailed for the beginner, but authors did as well as possible without having to write a multi-volume version. Mid level to expert users should have no problem understanding the examples and solutions used in the book. I strongly recommend this book.
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3 of 3 people found the following review helpful By Satyen@AmazonEU on May 9, 2009
Format: Paperback
This is an excellent hands-on book on learning core concepts of data mining with SQL Server 2008. I have used this book as part of our Data Mining certification course at University Of Washington. The examples are very clear and their step-by-step approach really helped me in understanding various mining models and learning DMX query. Highly recommend for aspirant and experienced BI professionals.
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3 of 4 people found the following review helpful By North Providence RI on February 5, 2009
Format: Paperback
Jamie MacLennan, ZhaoHui Tang, and Bogdan Crivat have done a superb job on this book and for those of us that had to deal with the 2005 version rest assured dear reader that the 2008 version is a 'work of art'. The writing is clear and concise. The examples are easy to work with, understandable and gone are the complex mathmathics that required genious to interpret. I have bought a copy for myself and two for the office. I have a problem with recommending books for the sake of recommending them. Trust me the 2008 version is worth every cent!!. Thanks Jamie et Al and well done!!!!
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Format: Paperback Verified Purchase
I got this used book from thrift_books. Book looks great for the price. Well maintained and they took 4 days to ship it. I just started reading this book. I directly jumped to the Mining with Cubes ( had basic idea about mining) and the example are easy to understand and implement.
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By Amazon Customer on April 9, 2013
Format: Kindle Edition Verified Purchase
A very well balanced writing with the correct proportion between theory and practise. This was what I was looking for.
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