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

1. Enterprise Data Mining
with SQL Server
Mark Tabladillo Ph.D.
Microsoft MVP
MarkTab Consulting
SQL Saturday 119 Chicago, IL
May 19, 2012

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
 Microsoft TechEd; SAS Global Forum; Predictive
Analytics World
 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 Determine best performing
Learning” algorithm

11. SQL Server
2012
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)
 SQL Server Data Tools (SSDT)
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 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

27. Contoso Retail:
Enterprise Data Mining
Demonstration

28. 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

32. 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

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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