Dr. J said
The number of stars may be unfair but for my purposes the book was not sufficiently elementary to get started. I have SQL Server 2008 loaded on my laptop with the Integration Services but I cannot tell from the tutorials that came with SQL Server how to get started building a data base and then using data mining techniques on it. The book mentions databases that can be downloaded but does not tell me where to put them or how to tell SQL Server where they are and connect to them. I'm familiar with the required knowledge about both data bases and statistics but not with SQL Server so this is not the book I needed. It may be very good but not for my purposes. I'll know better when I get going with SQL Server 2008. Peter Jurkat
Satyen@AWS said
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.
North Providence RI said
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!!!!
J. Burchel said
This is an excellent book, highly recommended by me and my numerous colleagues in the data mining community - one I support for a living, and not just teach. There is little use for theoretical learning if practical application is not also supported. Data Mining with SQL Server 2008 (as the previous 2005 edition) thoroughly covers not only the theory, but also the full feature-set of Microsoft's extensive data mining tools. Is it possible to buy a book with more detail on theoretical aspects of the subject? Possibly. But if you want to actually use the rich data mining features in the best business intelligence product available in the world both readily and efficiently without wading through stacks of PhD fodder, this book is perfect, and none can surpass it that I know of.
Elena Cristofor said
"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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