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Rating: 
Summary: A Must Read for all database administrators !
Review: It might not be the perfect data mining book as the other reviewer has stated in his or her review. However, it is packed with plenty of useful examples and techniques, carefully marked with detail explanations. This is not a bad sort at all amongst the SQL books. Not bad at all. Ya just gonna have to get ya butt out and walk yaself to a good book store and read it yaself if ya don't believe me. Or, you can just keep sitting there and keep browsing the net to find that one perfect SQL book that's suitable for you.
Rating: 
Summary: Should be called "Basic Statistical Analysis Using SQL"
Review: My perspective is that I do not consider basic statistics a part of Data Mining. By basic statistics, I mean ANOVA, regression, etc. Therefore, I feel the title is misleading. Only basic statistical analysis is shown using SQL. Data Mining techniques are not covered. As far as statistical analysis .... The Design of Experiments chapter does not cover replicated ANOVA, and does not even mention factorial designs. The Time Series chapter does not cover autoregressive-moving average models. If you want a book that implements some of Excel's Analysis Tools routines in SQL, then this book is for you. If you want an introduction to data mining techniques, look elsewhere.
Rating: 
Summary: Liar, liar, pants on fire--no data mining in this book
Review: This is yet another introductory statistics text--a particularly old-fashioned one. The words "Data Mining" in the title are toitally misleading and I'm sorry I borrowed it. It is useless as a text book as it has nothing on resampling methods, the bootstrap and permutation tests.
Rating:
Summary: Liar, liar, pants on fire--no data mining in this book
Review: This is yet another introductory statistics text--a particularly old-fashioned one. The words "Data Mining" in the title are toitally misleading and I'm sorry I borrowed it. It is useless as a text book as it has nothing on resampling methods, the bootstrap and permutation tests.
Rating:
Summary: Data Mining and Statistical Analysis Using SQL
Review: This would be a good book for Statistical Analysis using SQL, but it lacks the other side of data mining-data visualization. I hope the authors would include some non-statistical techniques of data mining in their future edition. At the meanwhile, reader may read other books, such as C. Westphal's Data Mining Solutions, for non-statistical data visualization techniques.
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