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Microsoft Data Science Technologies: Architecture Edition 201509

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Microsoft Data Science Technologies: Architecture Edition 201509

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Microsoft provides several technologies in and around SQL Server which can be used for casual to serious data science. This presentation provides an authoritative overview of five major options: SQL Server Analysis Services, Excel Add-in for SSAS, Semantic Search, Microsoft Azure Machine Learning, and F#. Also included are tips on working with Python and R. These technologies have been used by the presenter in various companies and industries.

Microsoft provides several technologies in and around SQL Server which can be used for casual to serious data science. This presentation provides an authoritative overview of five major options: SQL Server Analysis Services, Excel Add-in for SSAS, Semantic Search, Microsoft Azure Machine Learning, and F#. Also included are tips on working with Python and R. These technologies have been used by the presenter in various companies and industries.

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Microsoft Data Science Technologies: Architecture Edition 201509

  1. 1. Microsoft Technologies for Data Science Architecture Edition Mark Tabladillo, Ph.D. Senior Data Scientist LogicBlox/Predictix
  2. 2. Networking Interactive
  3. 3.     
  4. 4. http://www.bizjournals.com/atlanta/subscriber-only/2014/07/11/top-employers-in- metro-atlanta.html
  5. 5. http://www.kdnuggets.com/polls/2015/analytics- data-mining-data-science-software-used.html http://products.office.com/en-us/excel http://www.microsoft.com/en- us/server-cloud/products/sql-server/ http://pytools.codeplex.com/ http://azure.microsoft.com/en- us/services/hdinsight/ http://www.revolutionanalytics.com/
  6. 6. http://download.microsoft.com/download/F/C/2/FC21C981- 4351-4434-A78A- 3384CA7515BF/SQL_Server_2016_Deeper_Insights_Across_D ata_White_Paper.pdf
  7. 7. SS SQL AS NoSQL
  8. 8. SQL Server Data Mining: Analysis Services http://sqlserverdatamining.com
  9. 9. Data mining add-in for business analysts • Ease of use • Rich data mining • Scalable
  10. 10. Rowset Output with Scores Varchar NVarchar Office PDF
  11. 11. Documents Full-Text Keyword Index “FTI” iFilters Semantic Document Similarity Index “DSI” Semantic Database Semantic Key Phrase Index – Tag Index “TI”
  12. 12. Simplified Chinese British English Portuguese Chinese (Hong Kong SAR, PRC) Spanish Chinese (Singapore) Chinese (Macau SAR)
  13. 13. Time in Seconds vs. Number of Documents (2011 – K. Mukerjee, T. Porter, S. Gherman – Microsoft) http://users.cis.fiu.edu/~lzhen001/activities/KDD2011Program/docs/p213.pdf
  14. 14.  http://download.microsoft.com/download/3/B/9/3B9 FBA69-8AAD-4707-830F- 6C70A545C389/Introducing_Azure_Machine_Learnin g.pdf
  15. 15.  http://datacamp.com
  16. 16.   https://github.com/jakevdp/sklearn_pycon2015
  17. 17. http://azure.microsoft.com/en-us/services/machine-learning/
  18. 18. Mutable Immutable Classic Open Source Java Scala .NET Now Open Source C#, C++, VB.NET F#
  19. 19.   http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From- First-Principles   http://tomasp.net/
  20. 20. Technology Use Case SQL Server Analysis Services SQL Server Licensed Input: SQL Server, SSAS Excel Add-In for SSAS Semantic Search Azure Machine Learning F#
  21. 21. Technology Use Case SQL Server Analysis Services SQL Server Licensed Input: SQL Server, SSAS Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users Semantic Search Azure Machine Learning F#
  22. 22. Technology Use Case SQL Server Analysis Services SQL Server Licensed Input: SQL Server, SSAS Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users Semantic Search SQL Server: Volume Text Processing Azure Machine Learning F#
  23. 23. Technology Use Case SQL Server Analysis Services SQL Server Licensed Input: SQL Server, SSAS Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users Semantic Search SQL Server: Volume Text Processing Azure Machine Learning Students; Web Applications (R & Python) Input: Azure-based Sources F#
  24. 24. Technology Use Case SQL Server Analysis Services SQL Server Licensed Input: SQL Server, SSAS Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users Semantic Search SQL Server: Volume Text Processing Azure Machine Learning Students; Web Applications (R & Python) Input: Azure-based Sources F# .NET Developers
  25. 25. Conference: http://www.kdd.org/
  26. 26. http://blogs.technet.com/b/machinelearning/ http://social.msdn.microsoft.com/forums/azure/en- US/home?forum=MachineLearning http://sqlserverdatamining.com http://marktab.net http://curah.microsoft.com/342704/azure-machine-learning- videos-february-2015
  27. 27.  http://datascience.sqlpass.org

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