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ENTERPRISE DATA
                        MINING FOR SQL
                        SERVER
                        PROFESSIONALS
                        Mark Tabladillo Ph.D.
                        http://marktab.net
                        @marktabnet
                        March 19, 2011




©2010 MARK TABLADILLO
INTRODUCTION
       Phrase             Goal



       Data Mining        Inform actionable decisions


       Machine Learning   Determine best performing
                          algorithm




©2010 MARK TABLADILLO
“SQL SERVER PROFESSIONAL”

            Analyst
            Architect
            Developer




©2010 MARK TABLADILLO
ENTERPRISE CHALLENGE




©2010 MARK TABLADILLO
ENTERPRISE CHALLENGE




©2010 MARK TABLADILLO
ENTERPRISE CHALLENGE




©2010 MARK TABLADILLO
ENTERPRISE CHALLENGE




©2010 MARK TABLADILLO
SERVER PHYSICAL
                        ARCHITECTURE
                         http://msdn.microsoft.com/en-
                         us/library/ms174776.aspx




©2010 MARK TABLADILLO
SERVER LOGICAL ARCHITECTURE
          http://msdn.microsoft.com/en-us/library/ms174587.aspx




©2010 MARK TABLADILLO
ENTERPRISE SOLUTIONS

          SQL Server Management Studio (SSMS)
          Business Intelligence Development Studio (BIDS)
            SQL Server Integration Services (SSIS)
          PowerShell version 2




©2010 MARK TABLADILLO
OUTLINE

          Contoso Retail and Fundamentals
          Enterprise-Level Demo for SQL Server
          Professionals
          What is my next step?




©2010 MARK TABLADILLO
WHAT IS CONTOSO RETAIL?

          Demonstration dataset for SQL Server
          Database Engine and Analysis Services
          http://www.microsoft.com/downloads/en/det
          ails.aspx?displaylang=en&FamilyID=868662dc
          -187a-4a85-b611-b7df7dc909fc




©2010 MARK TABLADILLO
WHAT ARE THE FUNDAMENTALS?

           ‘Readin (reading)
           ‘Riting (writing)
           ‘Rithmetic (arithmetic)




©2010 MARK TABLADILLO
XMLA
                        http://msdn.microsoft.com/en
                        -us/library/ms174518.aspx




©2010 MARK TABLADILLO
DATA MINING STRUCTURES
          http://msdn.microsoft.com/en-us/library/cc645741.aspx
          http://msdn.microsoft.com/en-us/library/ms174757.aspx




©2010 MARK TABLADILLO
DATA MINING MODELS
          http://msdn.microsoft.com/en-us/library/cc645779.aspx




©2010 MARK TABLADILLO
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
©2010 MARK TABLADILLO
©2010 MARK TABLADILLO
©2010 MARK TABLADILLO
CONCLUSION

             Analysts, Architects and Developers
             can tackle enterprise data mining
             challenges with
                  SQL Server Management Studio
                  Business Intelligence Development Studio
                  PowerShell version 2




©2010 MARK TABLADILLO
HOW CAN I IMPROVE DATA MINING
     PERFORMANCE?
          Use SQL Server Analysis Services for what it does best: store and
          provide models
          Use Best Practices for SQL Server Analysis Services as published by
          SQLCAT http://sqlcat.com (requires as much professional study as you
          would like to invest)
          Practice model parsimony (requires as much mathematical study as you
          would like to invest)
          Send your data mining performance question: http://marktab.net




©2010 MARK TABLADILLO
WHERE CAN I FIND MORE
     INFORMATION?
          http://marktab.net Data Mining Resource
          http://marktab.net/datamining Data Mining Blog
          http://sqlserverdatamining.com SQL Server Data Mining
          http://technet.microsoft.com Microsoft’s TechNet




©2010 MARK TABLADILLO

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Enterprise Data Mining for SQL Server Professionals 20110319

  • 1. ENTERPRISE DATA MINING FOR SQL SERVER PROFESSIONALS Mark Tabladillo Ph.D. http://marktab.net @marktabnet March 19, 2011 ©2010 MARK TABLADILLO
  • 2. INTRODUCTION Phrase Goal Data Mining Inform actionable decisions Machine Learning Determine best performing algorithm ©2010 MARK TABLADILLO
  • 3. “SQL SERVER PROFESSIONAL” Analyst Architect Developer ©2010 MARK TABLADILLO
  • 8. SERVER PHYSICAL ARCHITECTURE http://msdn.microsoft.com/en- us/library/ms174776.aspx ©2010 MARK TABLADILLO
  • 9. SERVER LOGICAL ARCHITECTURE http://msdn.microsoft.com/en-us/library/ms174587.aspx ©2010 MARK TABLADILLO
  • 10. ENTERPRISE SOLUTIONS SQL Server Management Studio (SSMS) Business Intelligence Development Studio (BIDS) SQL Server Integration Services (SSIS) PowerShell version 2 ©2010 MARK TABLADILLO
  • 11. OUTLINE Contoso Retail and Fundamentals Enterprise-Level Demo for SQL Server Professionals What is my next step? ©2010 MARK TABLADILLO
  • 12. WHAT IS CONTOSO RETAIL? Demonstration dataset for SQL Server Database Engine and Analysis Services http://www.microsoft.com/downloads/en/det ails.aspx?displaylang=en&FamilyID=868662dc -187a-4a85-b611-b7df7dc909fc ©2010 MARK TABLADILLO
  • 13. WHAT ARE THE FUNDAMENTALS? ‘Readin (reading) ‘Riting (writing) ‘Rithmetic (arithmetic) ©2010 MARK TABLADILLO
  • 14. XMLA http://msdn.microsoft.com/en -us/library/ms174518.aspx ©2010 MARK TABLADILLO
  • 15. DATA MINING STRUCTURES http://msdn.microsoft.com/en-us/library/cc645741.aspx http://msdn.microsoft.com/en-us/library/ms174757.aspx ©2010 MARK TABLADILLO
  • 16. DATA MINING MODELS http://msdn.microsoft.com/en-us/library/cc645779.aspx ©2010 MARK TABLADILLO
  • 17. 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
  • 21. CONCLUSION Analysts, Architects and Developers can tackle enterprise data mining challenges with SQL Server Management Studio Business Intelligence Development Studio PowerShell version 2 ©2010 MARK TABLADILLO
  • 22. HOW CAN I IMPROVE DATA MINING PERFORMANCE? Use SQL Server Analysis Services for what it does best: store and provide models Use Best Practices for SQL Server Analysis Services as published by SQLCAT http://sqlcat.com (requires as much professional study as you would like to invest) Practice model parsimony (requires as much mathematical study as you would like to invest) Send your data mining performance question: http://marktab.net ©2010 MARK TABLADILLO
  • 23. WHERE CAN I FIND MORE INFORMATION? http://marktab.net Data Mining Resource http://marktab.net/datamining Data Mining Blog http://sqlserverdatamining.com SQL Server Data Mining http://technet.microsoft.com Microsoft’s TechNet ©2010 MARK TABLADILLO