Enteprise Data Mining with SQL Server by Mark Tabladillo

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Enteprise Data Mining with SQL Server by Mark Tabladillo

  1. 1. Enterprise Data Mining with SQL Server Mark Tabladillo Ph.D. Microsoft MVP, SolidQ Mentor July 7, 2011© 2011 MarkTab Inc 1
  2. 2. AbstractThis presentation introduces SQL Server Data Mining (SSDM) for SQLServer Professionals based on the speakers past presentation forMicrosoft TechEd. Starting with SQL Server Management Studio(SSMS), the demo includes the interfaces important for professionaldevelopment, including Business Intelligence Development Studio(BIDS), highlighting Integration Services, and PowerShell. Theinteractive demos are based on Microsofts Contoso Retail sampledata. Finally we will evaluate where Microsoft data mining can helpyou in a practical business environment, which may include Oracleand SAS.© 2011 MarkTab Inc 2
  3. 3. 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 since 1998 at conferences like Microsoft TechEd and SAS Global Forum• SolidQ Mentor since 2008• Co-Founder of SolidQ Journal http://solidq.com/sqj• Blog: http://marktab.net @MarkTabNet© 2011 MarkTab Inc 3
  4. 4. Enterprise
  5. 5. Enterprise Challenge
  6. 6. Enterprise Challenge
  7. 7. Enterprise Challenge
  8. 8. Enterprise Challenge
  9. 9. Data Mining
  10. 10. DefinitionsPhrase Goal“Data Mining” Inform actionable decisions“Machine Learning” Determine best performing algorithm
  11. 11. SQL Server 2008 R2
  12. 12. Server PhysicalArchitecture• http://msdn.microsoft.com/en -us/library/ms174776.aspx
  13. 13. Server Logical Architecture• http://msdn.microsoft.com/en-us/library/ms174587.aspx
  14. 14. Outline• Contoso Retail and Fundamentals• Enterprise-Level Data Mining Demo for SQL Server• What is my next step?
  15. 15. What is Contoso Retail?• Demonstration dataset for SQL Server Database Engine and Analysis Services• http://www.microsoft.com/downloads/en/details.aspx?disp laylang=en&FamilyID=868662dc-187a-4a85-b611- b7df7dc909fc
  16. 16. What are the fundamentals?•Readin’ (reading)•‘Riting (writing)•‘Rithmetic (arithmetic)
  17. 17. What Enterprise Tools support Data Mining?• SQL Server Management Studio (SSMS)• Business Intelligence Development Studio (BIDS) • SQL Server Integration Services (SSIS)• PowerShell version 2
  18. 18. Contoso Retail:Enterprise Data Mining Demonstration
  19. 19. 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
  20. 20. What is my next step?• SQL Server 2008 R2 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
  21. 21. 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
  22. 22. 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
  23. 23. Graphics• Ship graphics Copyright © 1995-2006 Nova Development and its licensors. All rights reserved. Used with permission.
  24. 24. SolidQ sets the standard for information management services by providing the world’s most trusted and reliable data management services, business intelligence, collaboration and advanced technology solutions for Microsoft’s cloud and on-premise platforms. http://solidq.com© 2011 MarkTab Inc 27

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