Enterprise Data Mining for SQL Server Pros

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Enterprise Data Mining for SQL Server Pros

  1. 1. Enterprise Data Mining for SQL Server  Professionals Mark Tabladillo Ph.D. MarkTab Consulting http://marktab.com June 13, 2011
  2. 2. About Mark Tabladillo∗ Information Technology Professional since 1998; Incorporated in 2003∗ Focus on SAS System and Microsoft Business Intelligence (MCITP)∗ Presenter at many events like SAS Global Forum, Microsoft TechEd, and  Atlanta MDF (MCT)∗ Consultant in finance, healthcare, insurance, telecommunications, media∗ Cofounder of SolidQ Journal∗ Schooled with the Bruins and Yellow Jackets; Teaching with University of  Phoenix
  3. 3. Enterprise
  4. 4. Enterprise Challenge
  5. 5. Enterprise Challenge
  6. 6. Enterprise Challenge
  7. 7. Enterprise Challenge
  8. 8. Data Mining
  9. 9. Operational DefinitionsPhrase Goal“Data Mining” Inform actionable decisions“Machine Learning” Determine best performing algorithm
  10. 10. SQL Server  2008 R2
  11. 11. Server Physical  Architecture∗ http://msdn.microsoft.com/en‐ us/library/ms174776.aspx
  12. 12. Server Logical Architecturettp://msdn.microsoft.com/en‐us/library/ms174587.aspx
  13. 13. Outline∗ Contoso Retail and Fundamentals∗ Enterprise‐Level Data Mining Demo for SQL Server∗ What is my next step?
  14. 14. What is Contoso Retail?Demonstration dataset for SQL Server Database Engine andAnalysis Serviceshttp://www.microsoft.com/downloads/en/details.aspx?displang=en&FamilyID=868662dc‐187a‐4a85‐b611‐b7df7dc909fc
  15. 15. What are the fundamentals?∗Readin’ (reading)∗‘Riting (writing)∗‘Rithmetic (arithmetic)
  16. 16. What Enterprise Tools support Data Mining? ∗ SQL Server Management Studio (SSMS) ∗ Business Intelligence Development Studio  (BIDS) ∗ SQL Server Integration Services (SSIS) ∗ PowerShell version 2
  17. 17. Contoso Retail:Enterprise Data Mining
  18. 18. Documentation∗Data Mining Structures ∗ http://msdn.microsoft.com/en‐us/library/cc645741.aspx ∗ http://msdn.microsoft.com/en‐us/library/ms174757.aspx∗Data Mining Models ∗ http://msdn.microsoft.com/en‐us/library/cc645779.aspx
  19. 19. What is my next step? QL Server 2008 R2 Enterprise includes database engine,  Analysis Services, SSMS and BIDS) http://www.microsoft.com/sqlserver/2008/en/us/trial‐software.aspxMicrosoft Office 2010 Professional http://office.microsoft.com/en‐us/tryPowershell 2.0 http://support.microsoft.com/kb/968929Data Mining Portal and Blog http://www.marktab.net
  20. 20. Conclusion∗ Data mining leaders can tackle enterprise data  mining challenges with ∗ SQL Server Management Studio ∗ Business Intelligence Development Studio ∗ PowerShell version 2∗ Become leaders of leaders of leaders
  21. 21. Where Can I Find More Information?http://marktab.net Data Mining Resourcehttp://marktab.net/datamining Data Mining Bloghttp://sqlserverdatamining.com SQL Server Data Mininghttp://technet.microsoft.com Microsoft’s TechNet
  22. 22. Graphicship graphics Copyright © 1995‐2006 Nova Development and its licensors. All righeserved.  Used with permission.

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