Data Mining Innovation with SQL Server 2014: SQL Saturday 328 Birmingham AL

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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.

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Data Mining Innovation with SQL Server 2014: SQL Saturday 328 Birmingham AL

  1. 1. Data Mining Innovation with SQL Server 2014 Mark Tabladillo, Ph.D. (MVP, SAS Expert) Birmingham, AL –SQL Saturday 328 August 23, 2014
  2. 2. Networking Interactive
  3. 3. Mark Tab SQL Server MVP; SAS Expert Consulting Training Teaching Presenting Linked In @MarkTabNet
  4. 4. Outline Examine 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
  5. 5. TechNet Virtual Labs http://technet.microsoft.com/en-us/virtuallabs/bb467605.aspx
  6. 6. SQL Server 2014 Developer Training Kit http://www.microsoft.com/en-us/download/details.aspx?id=41704
  7. 7. 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/
  8. 8. Applied Data Science Choose one of five companies
  9. 9. Telecommunications
  10. 10. Healthcare
  11. 11. Oil and Gas
  12. 12. Retail
  13. 13. Volkswagen Group
  14. 14. Your Presentation Problem Statement Purpose Statement Data Collection Data Mining and Machine Learning with technical details SQL Server 2014 Enterprise Edition Microsoft Office 2013 Professional Plus SharePoint 2013 Enterprise Power BI for O365 Microsoft Azure Machine Learning <You may add any free items from Microsoft or Codeplex> Expected Outcomes
  15. 15. Evaluation One 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 Relative Placement: http://www.swingdancecouncil.com/library/relativeplacement.htm
  16. 16. Celebration
  17. 17. Major Websites SQL 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/
  18. 18. Software Dreamspark(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 --MarkTab http://blogs.msdn.com/b/mvpawardprogram/archive/2014/08/04/primer-on-power-bi-business- intelligence.aspx
  19. 19. Abstract 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.

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