Enterprise Data Mining with SQL Server

Mark Tabladillo Ph.D.Microsoft MVPMarkTab Consulting

March 21, 2012

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

3

Enterprise:Leaders of Leaders of

Leaders

Enterprise Challenge

Enterprise Challenge

Enterprise Challenge

Enterprise Challenge

“Data Mining”

Definitions

Phrase Goal

“Data Mining” Inform actionable decisions

“Machine Learning”

Determine best performingalgorithm

Data Mining > Just Drilldown

Query Typical Result

T‐SQL Exact values and calculations

MDX Exact values and calculations

DAX Exact values and calculations

DMX Values plus probabilities

SQL Server 2008 R2:

Physical and Logical

OLAP EnginePhysical Architecture

• http://msdn.microsoft.com/en-us/library/ms174776.aspx

Analysis Services Logical Architecture

• http://msdn.microsoft.com/en-us/library/ms174587.aspx

Outline

• Contoso Retail and Fundamentals• Enterprise-Level Data Mining Demo for

SQL Server• What is my next step?

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

What are the fundamentals?

Reading

Writing

Arithmetic

‘Readin’

‘Ritin’

‘Rithmetic

What Enterprise Tools support Data Mining?

• SQL Server Management Studio (SSMS)• Business Intelligence Development Studio

(BIDS)– SQL Server Integration Services (SSIS)

• PowerShell version 2

What Enterprise Tools support Data Mining?

Data Mining

SSMS SSIS PowerShell

Variable 0 1 2 3 4 5 6 7

Discretized

Discretized

Continuous

Discrete

Variable 0 1 2 3 4 5 6 7

Discretized

Discretized

Continuous

Discrete

Variable 0 1 2 3 4 5 6 7

Discretized

Discretized

Continuous

Discrete

Variable 0 1 2 3 4 5 6 7

Discretized

Discretized

Continuous

Discrete

Variable 0 1 2 3 4 5 6 7

Discretized

Discretized

Continuous

Discrete

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

Contoso Retail:Enterprise Data Mining

Demonstration

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

• 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

Conclusion

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

Graphics

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

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.

Online Video:http://channel9.msdn.com/Events/TechEd/NorthAmerica/2011/DBI326

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