SQL Saturday 119 Chicago -- Enterprise Data Mining with SQL Server

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This presentation covers SQL Server 2012 data mining -- mostly demo (therefore not in slides) -- an earlier version is on video at http://channel9.msdn.com/Events/TechEd/NorthAmerica/2011/DBI326

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SQL Saturday 119 Chicago -- Enterprise Data Mining with SQL Server

  1. 1. Enterprise Data Miningwith SQL Server Mark Tabladillo Ph.D. Microsoft MVP MarkTab Consulting SQL Saturday 119 Chicago, IL May 19, 2012
  2. 2. About Mark Tabladillo  20 Years in Atlanta, Georgia  Consulting since 1998; Incorporated 2003  Part-Time Faculty at University of Phoenix  SAS and Microsoft Expert Presenter  Microsoft TechEd; SAS Global Forum; Predictive Analytics World  Taught statistics at undergraduate and graduate level  Blog: http://marktab.net @MarkTabNet3
  3. 3. Enterprise:Leaders of Leaders of Leaders
  4. 4. Enterprise Challenge
  5. 5. Enterprise Challenge
  6. 6. Enterprise Challenge
  7. 7. Enterprise Challenge
  8. 8. “Data Mining”
  9. 9. DefinitionsPhrase Goal“Data Mining” Inform actionable decisions“Machine Determine best performingLearning” algorithm
  10. 10. SQL Server 2012Physical and Logical
  11. 11. OLAP EnginePhysical Architecture  http://msdn.microsoft.com/en- us/library/ms174776.aspx
  12. 12. Analysis ServicesLogical Architecture  http://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 and Analysis Services http://www.microsoft.com/downloads/en/details.aspx?displaylang=en&FamilyID=868662dc-187a- 4a85-b611-b7df7dc909fc
  15. 15. What are the fundamentals? ‘Readin’ Arithmetic Reading ‘Ritin’ Writing ‘Rithmetic
  16. 16. What Enterprise Tools support Data Mining? SQL Server Management Studio (SSMS) SQL Server Data Tools (SSDT) Business Intelligence Development Studio (BIDS)  SQL Server Integration Services (SSIS) PowerShell version 2
  17. 17. What Enterprise Tools support Data Mining? Data Mining SSMS SSIS PowerShell
  18. 18. Variable 0 1 2 3 4 5 6 7DiscretizedDiscretizedContinuousDiscrete
  19. 19. Variable 0 1 2 3 4 5 6 7DiscretizedDiscretizedContinuousDiscrete
  20. 20. Variable 0 1 2 3 4 5 6 7DiscretizedDiscretizedContinuousDiscrete
  21. 21. Variable 0 1 2 3 4 5 6 7DiscretizedDiscretizedContinuousDiscrete
  22. 22. Variable 0 1 2 3 4 5 6 7DiscretizedDiscretizedContinuousDiscrete
  23. 23. Documentation for SQL Server 2012 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
  24. 24. Contoso Retail:Enterprise Data Mining Demonstration
  25. 25. What is my next step? SQL Server 2012 Enterprise (includes database engine, Analysis Services, SSMS and SSDT)  http://www.microsoft.com/sqlserver/en/us/get-sql- server/try-it.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
  26. 26. Conclusion Data mining leaders can tackle enterprise data mining challenges with  SQL Server Management Studio  SQL Server Data Tools  PowerShell version 2 Become leaders of leaders of leaders
  27. 27. 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
  28. 28. Graphics Ship graphics Copyright © 1995-2006 Nova Development and its licensors. All rights reserved. Used with permission.
  29. 29. Abstract This presentation introduces SQL Server Data Mining (SSDM) for SQL Server Professionals based on the speakers past presentation for Microsoft TechEd. Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell. The interactive demos are based on Microsofts Contoso Retail sample data. Finally we will evaluate where Microsoft data mining can help you in a practical business environment, which may include Oracle and SAS.35

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