There are hundreds if not thousands of great resources for learning and continually improving. These are a few of my favorite ones. Web Sites ACM Online Books and Courses http://www.acm.org Microsoft MSDN http://msdn.microsoft.com Microsoft TechNet http://technet.microsoft.com Kimball Group http://www.kimballgroup.com Shaku Atre http://www.atre.com Electronic Statistics Textbook http://www.statsoft.com/textbook/stathome.html KDD-Nuggets http://www.kdnuggets.com SAS http://www.sas.com/ SPSS http://www.spss.com/ Oracle http://www.oracle.com Teradata http://www.teradata.com Weka Open Source Data Mining http://www.cs.waikato.ac.nz/ml/weka R Statistical Computing http://www.r-project.org Andrew Moore's Data Mining Lessons http://www.autonlab.org/tutorials Jump Start TV http:// www.jumpstarttv.com SQL Server Performance http://www.sql-server-performance.com SQL Server Central http://www.sqlservercentral.com Database Journal http://www.databasejournal.com SQL Server Magazine http://www.sqlmag.com IBM Redbooks http://www.ibm.com SSAS Info http://www.ssas2008-info.com Excellent SSAS videos by Craig Utley at http://www.learnmicrosoftbi.com BIDS Helper http://www.codeplex.com/bidshelper Solid Quality http://www.solidq.com/webcasts Channel 9 http://channel9.msdn.com/wiki/sqlserver SQL CAT http://sqlcat.com SQL 2008 Jumpstart http://sqlserver2008jumpstart.microsofttraining.com Books The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling by Ralph Kimball and Margy Ross Data Analysis Using SQL and Excel by Gordon S. Linoff Excel 2007 for Scientists and Engineers by Gerard Verschuuren Excel 2007 Advanced Report Development by Timothy Zapawa Excel 2007 PivotTables and PivotCharts by Paul McFedries Microsoft SQL Server 2005 Analysis Services Step by Step by Reed Jacobson and Stacia Misner Applied Microsoft Analysis Services 2005 by Teo Lachev Applied Microsoft SQL Server Reporting Services 2008 by Teo Lachev Professional Microsoft SQL Server 2008 Reporting by Turley, Silva, Smith, Withee Data Mining: Practical Machine Learning Tools and Techniques by Ian H. Witten and Eibe Frank Data Preparation for Data Mining by Dorian Pyle Data Mining with Microsoft SQL Server 2008 by Jamie MacLennan, ZhaoHui Tang, and Bogdan Crivat Microsoft SQL Server 2005 Integration Services by Kirk Haselden Expert SQL Server 2005 Integration Services by Brian Knight and Erik Veerman Blogs Mosha http://www.sqljunkies.com/weblog/mosha Chris Webb http://cwebbbi.spaces.live.com Teo http://www.prologika.com RS Team http://blogs.msdn.com/sqlrsteamblog Dave Fackler http://davefackler.blogspot.com