Data Mining Innovation with SQL Server 2014 -- Charlotte 201410

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Data Mining Innovation with SQL Server 2014 Mark Tabladillo, Ph.D. Microsoft MVP | Consultant (SolidQ) Charlotte, NC – SQL Saturday 330 October 4, 2014

description

This presentation includes a complex business analytics solution using elements across the Microsoft Business Intelligence technology. This talk will not have all the steps spelled out. Therefore you should prepare -- for example, by looking at the SQL Server 2014 Developer Kit -- since attendees will be expected to have working knowledge of SQL Server relational database, SSIS, SSAS, SSRS, SSMS and SSDT. At the end of the demonstration, you will be expected to participate in groups to promote one idea which builds on the demo, and everyone will be voting for their favorite groups. Come ready to create and celebrate your peers.

Transcript of Data Mining Innovation with SQL Server 2014 -- Charlotte 201410

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Data Mining Innovation with SQL Server 2014Mark Tabladillo, Ph.D.

Microsoft MVP | Consultant (SolidQ)

Charlotte, NC – SQL Saturday 330

October 4, 2014

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NetworkingInteractive

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Mark TabSQL Server MVP; SAS Expert

Consulting

Training

Teaching

Presenting

Linked In

@MarkTabNet

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OutlineExamine a demonstration image of SQL Server Business Intelligence 2014

Create groups: develop a single data mining innovation which can be communicated in three minutes

These solutions will have technology restrictions – to be enumerated

Randomly chosen spokesperson: share the group innovation

Voting

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TechNet Virtual Labs

http://technet.microsoft.com/en-us/virtuallabs/bb467605.aspx

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SQL Server 2014 Developer Training Kit

http://www.microsoft.com/en-us/download/details.aspx?id=41704

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Microsoft Bing beats Google in World Cup predictions

Bing was 15 for 15 in picking the winners of each knockout match

Microsoft is using data like the teams’ records, strength of schedule, margin of victory in past matches, whether the location gives a particular team a home field advantage, and the influence of factors including weather and type of playing surface.

Microsoft managed to edge Google in terms of World Cup predictions. Google also used its own technology to pick match outcomes and finished 14 of 15.

http://www.geekwire.com/2014/microsoft-bing-15-16-world-cup/

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Applied Data Science

Choose one of three companies

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Telecommunications

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Oil and Gas

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Volkswagen Group

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Your PresentationProblem Statement

Purpose Statement

Data Collection

Data Mining and Machine Learning with technical detailsSQL Server 2014 Enterprise EditionMicrosoft Office 2013 Professional PlusSharePoint 2013 EnterprisePower BI for O365Microsoft Azure Machine Learning

<You may add any free items from Microsoft or Codeplex>

Expected Outcomes

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EvaluationOne person to speak in three minutes

Describe for your technical peers the technical details of your data mining innovation

Each Team will vote for other teams in 3 categories

Importance

Availability

Usefulness

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Celebration

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WebsitesSQL Server Data Mining

http://technet.microsoft.com/en-us/sqlserver/cc510301.aspx

http://www.sqlserverdatamining.com/

Microsoft Azure Machine Learning (currently in preview)

http://azure.microsoft.com/en-us/services/machine-learning/

MarkTab

http://marktab.net

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SoftwareDreamspark (students); BizSpark (businesses)

SQL Server 2014 Enterprise (includes database engine, Analysis Services, SSMS and SSDT)

http://www.microsoft.com/en-us/server-cloud/products/sql-server/default.aspx

Microsoft Office http://office.microsoft.com/en-us/

Primer on Power BI -- MarkTabhttp://blogs.msdn.com/b/mvpawardprogram/archive/2014/08/04/primer-on-power-bi-business-intelligence.aspx

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AbstractThis presentation includes a complex business analytics solution using elements across the Microsoft Business Intelligence technology. This talk will not have all the steps spelled out. Therefore you should prepare -- for example, by looking at the SQL Server 2014 Developer Kit -- since attendees will be expected to have working knowledge of SQL Server relational database, SSIS, SSAS, SSRS, SSMS and SSDT. At the end of the demonstration, you will be expected to participate in groups to promote one idea which builds on the demo, and everyone will be voting for their favorite groups. Come ready to create and celebrate your peers.