1. ENTERPRISE DATA MINING
WITH SQL SERVER
Mark Tabladillo Ph.D.
Microsoft MVP
MarkTab Consulting http://marktab.com
SQL Saturday 86 – Tampa
November 5, 2011

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
• Taught statistics at undergraduate and graduate level
• Blog: http://marktab.net @MarkTabNet
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4. Enterprise:
Leaders of Leaders of Leaders

5. Enterprise Challenge

6. Enterprise Challenge

7. Enterprise Challenge

8. Enterprise Challenge

9. “Data Mining”

10. Definitions
Phrase Goal
“Data Mining” Inform actionable decisions
“Machine Learning” Determine best performing algorithm

11. SQL Server
2008 R2:
Physical and Logical

12. OLAP Engine
Physical Architecture
• http://msdn.microsoft.com/en-
us/library/ms174776.aspx

13. Analysis Services
Logical Architecture
• http://msdn.microsoft.com/en-us/library/ms174587.aspx

14. Outline
• Contoso Retail and Fundamentals
• Enterprise-Level Data Mining Demo for SQL Server
• What is my next step?

15. 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

16. What are the fundamentals?
‘Readin’
Arithmetic Reading
‘Ritin’
Writing ‘Rithmetic

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. What Enterprise Tools support Data Mining?
Data
Mining
SSMS SSIS PowerShell

21. Variable 0 1 2 3 4 5 6 7
Discretized
Discretized
Continuous
Discrete

22. Variable 0 1 2 3 4 5 6 7
Discretized
Discretized
Continuous
Discrete

23. Variable 0 1 2 3 4 5 6 7
Discretized
Discretized
Continuous
Discrete

24. Variable 0 1 2 3 4 5 6 7
Discretized
Discretized
Continuous
Discrete

25. Variable 0 1 2 3 4 5 6 7
Discretized
Discretized
Continuous
Discrete

26. 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

27. Contoso Retail:
Enterprise Data Mining
Demonstration

28. 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

32. 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

33. 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

34. Graphics
• Ship graphics Copyright © 1995-2006 Nova Development and its licensors. All
rights reserved. Used with permission.

35. Abstract
This presentation introduces SQL Server Data Mining (SSDM) for SQL Server
Professionals based on the speaker's 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 Microsoft's 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.
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