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Data Mining with Microsoft SQL Server 2008
 
 

Data Mining with Microsoft SQL Server 2008 [Kindle Edition]

Jamie MacLennan , ZhaoHui Tang , Bogdan Crivat
5.0 out of 5 stars  See all reviews (1 customer review)

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Product Description

Product Description

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.

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.


Product details

  • Format: Kindle Edition
  • File Size: 10999 KB
  • Print Length: 672 pages
  • Publisher: Wiley; 1 edition (10 Mar 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • ASIN: B004SHO5AW
  • Text-to-Speech: Enabled
  • X-Ray:
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: #458,785 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews
9 of 9 people found the following review helpful
5.0 out of 5 stars Great coverage 21 Jun 2009
Format:Paperback
This book broadly covers not only the data mining functionality in Analysis Services but also that in Excel 2007 (which you might not even learn about if you're focusing on Analysis Services only) and provides good, hands-on examples of everything. For my background (well acquainted with SQL Server but not with BI or Excel) it suited my needs perfectly.

This book is of intermediate level, being neither an exhaustive reference of everything (get something like "Analysis Services Unleashed" for that) nor a starter book for people who know nothing about database development. And while it does cover MDX and OLAP, the focus is primarily on DMX (for data mining) and you probably won't be able to learn MDX from it -- but that's OK, because you're going to want a separate book for that anyway if the Report Services designers and Excel pivot tables can't do it for you (try "SQL Server 2008 MDX Step-by-Step", I'm having good experiences with it).
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Amazon.com: 4.2 out of 5 stars  13 reviews
9 of 9 people found the following review helpful
5.0 out of 5 stars The authoritative resource on SQL Server 2008 Data Mining 3 Feb 2009
By Elena Cristofor - Published on Amazon.com
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.
7 of 7 people found the following review helpful
5.0 out of 5 stars A plug-in developer must read 17 Dec 2008
By Mnr R. Brits - Published on Amazon.com
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.
4 of 4 people found the following review helpful
5.0 out of 5 stars Data Mining with Microsoft SQL Server 2008 5 Dec 2009
By Patricia Carter - Published on Amazon.com
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.
3 of 3 people found the following review helpful
5.0 out of 5 stars Get your hands dirty with SQL Server 2008 Data Mining Tools 9 May 2009
By Satyen@AmazonEU - Published on Amazon.com
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.
3 of 4 people found the following review helpful
5.0 out of 5 stars A superb book and must have 5 Feb 2009
By North Providence RI - Published on Amazon.com
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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The result of this unceasing data collection is that organizations have become data-rich and knowledge-poor. &quote;
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The main purpose of data mining is to extract knowledge from the data at hand, increasing its intrinsic value and making the data useful. &quote;
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