SQL Server Data Mining for SQL Server Professionals
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This document discusses data mining for SQL Server professionals. It introduces data mining and machine learning goals and outlines topics to be covered, including an introduction to the Contoso Retail demo dataset, fundamentals of SQL Server physical and logical architecture, how to build analysis services cubes and data mining structures/models, and next steps involved in accessing data mining technologies.
SQL Server Data Mining for SQL Server Professionals
- 1. DATA MINING FOR SQL SERVER PROFESSIONALS Mark Tabladillo Ph.D. http://marktab.net @marktabnet December 6, 2010 ©2010 MARK TABLADILLO
- 2. INTRODUCTION Phrase Goal Intelligent Design Data Mining Inform actionable • Prepare the data decisions • Experiment with multiple algorithms • Apply cultural values to make a decision Machine Learning Determine best • Survey known performing algorithm algorithms • Propose a new variation or approach • Test results ©2010 MARK TABLADILLO
- 3. OUTLINE What is Contoso Retail? What are the fundamentals? Demo for SQL Server Professionals What is my next step? ©2010 MARK TABLADILLO
- 4. WHAT IS CONTOSO RETAIL? Demonstration dataset for SQL Server Database Engine and Analysis Services http://www.microsoft.com/downloads/en/details.aspx?displaylang=en&Fa milyID=868662dc-187a-4a85-b611-b7df7dc909fc ©2010 MARK TABLADILLO
- 5. WHAT ARE THE FUNDAMENTALS? ‘Readin (reading) ‘Riting (writing) ‘Rithmetic (arithmetic) ©2010 MARK TABLADILLO
- 6. SERVER PHYSICAL ARCHITECTURE http://msdn.microsoft.com/en- us/library/ms174776.aspx ©2010 MARK TABLADILLO
- 7. SERVER LOGICAL ARCHITECTURE http://msdn.microsoft.com/en-us/library/ms174587.aspx ©2010 MARK TABLADILLO
- 8. HOW DO YOU COMMUNICATE SERVER DESIGN? A. Physical Architecture B. Logical Architecture C. Both D. It Depends E. Other ©2010 MARK TABLADILLO
- 9. LOCAL ANALYSIS SERVICES CUBES http://msdn.microsoft.com/en-us/library/bb522640.aspx ©2010 MARK TABLADILLO
- 10. DATA MINING STRUCTURES http://msdn.microsoft.com/en-us/library/cc645741.aspx http://msdn.microsoft.com/en-us/library/ms174757.aspx ©2010 MARK TABLADILLO
- 11. DATA MINING MODELS http://msdn.microsoft.com/en-us/library/cc645779.aspx ©2010 MARK TABLADILLO
- 12. XMLA http://msdn.microsoft.com/en -us/library/ms174518.aspx ©2010 MARK TABLADILLO
- 13. WHAT IS MY NEXT STEP? SQL Server 2008 Enterprise (includes database engine, Analysis Services, SSMS and BIDS) http://www.microsoft.com/sqlserver/2008/en/us/trial-software.aspx Microsoft Office 2010 Professional http://office.microsoft.com/en-us/try Powershell 2.0 http://support.microsoft.com/kb/968929 Data Mining Portal and Blog http://www.marktab.net ©2010 MARK TABLADILLO
- 14. CONCLUSION Contoso Retail provides a rich sample dataset for Microsoft technologies SQL Server Data Professionals can access data mining through several interfaces: (Visual Studio Next Version) SQL Server Management Studio (SSMS) Business Intelligence Development Studio (BIDS) including Integration Services PowerShell 2.0 Excel 2007 or higher with Data Mining Add-In ©2010 MARK TABLADILLO