Data Mining with Microsoft® SQL Server® 2008

Chapter 19. Conclusion and Additional Resources

This book provides you with a valuable resource for learning about the data mining features of SQL Server 2008, finding examples that highlight both basic and more complex usage scenarios, and gaining some deeper insight into the peculiarities of SQL Server Data Mining (and how to apply them). This chapter reviews the highlights of data mining features in SQL Server 2008, examines the new business opportunities in data mining, and points you to other resources for further reading and discussion.

Recapping the Highlights of SQL Server 2008 Data Mining

This book covers a wide range of data mining topics and features. Starting with an overview of what data mining means, the early chapters demonstrate how any Excel user (with or without any knowledge of data mining) can take advantage of powerful predictive technology in everyday data usage. From that point, the discussions turn to the basic concepts of SQL Server Data Mining through the Data Mining Extensions (DMX) to SQL language, and how to use data mining tools in SQL Server 2008 and Excel. The discussions provided an in-depth look at each usage and application of the Microsoft data mining algorithms, as well as examinations of how each algorithm performs its particular brand of magic. You learned about the SQL Server Data Mining architecture and how you (as a developer or IT pro) can manage the server, write data mining applications, and extend the data mining capability of SQL Server ...