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.

Données & analyses

Microsoft Technologies
for Data Science
Architecture Edition
Mark Tabladillo, Ph.D.
Senior Data Scientist
LogicBlox/Predictix

http://www.bizjournals.com/atlanta/subscriber-only/2014/07/11/top-employers-in-
metro-atlanta.html

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/

http://download.microsoft.com/download/F/C/2/FC21C981-
4351-4434-A78A-
3384CA7515BF/SQL_Server_2016_Deeper_Insights_Across_D
ata_White_Paper.pdf

SQL Server Data Mining:
Analysis Services
http://sqlserverdatamining.com

Data mining add-in for business
analysts
• Ease of use
• Rich data mining
• Scalable

Rowset
Output
with Scores
Varchar
NVarchar
Office
PDF

Documents
Full-Text
Keyword
Index
“FTI”
iFilters
Semantic Document
Similarity Index “DSI”
Semantic
Database
Semantic
Key Phrase
Index –
Tag Index
“TI”

Simplified Chinese
British English
Portuguese
Chinese (Hong Kong SAR, PRC)
Spanish
Chinese (Singapore)
Chinese (Macau SAR)

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

 http://download.microsoft.com/download/3/B/9/3B9
FBA69-8AAD-4707-830F-
6C70A545C389/Introducing_Azure_Machine_Learnin
g.pdf


 https://github.com/jakevdp/sklearn_pycon2015

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

Mutable Immutable
Classic Open
Source
Java Scala
.NET
Now Open Source
C#, C++,
VB.NET
F#


 http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From-
First-Principles

 http://tomasp.net/

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#

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#

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

Microsoft Data Science Technologies: Architecture Edition 201509

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1. Microsoft Technologies for Data Science Architecture Edition Mark Tabladillo, Ph.D. Senior Data Scientist LogicBlox/Predictix

2. Networking Interactive

4.     

5. http://www.bizjournals.com/atlanta/subscriber-only/2014/07/11/top-employers-in- metro-atlanta.html

10. 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/

11.

12.

13. http://download.microsoft.com/download/F/C/2/FC21C981- 4351-4434-A78A- 3384CA7515BF/SQL_Server_2016_Deeper_Insights_Across_D ata_White_Paper.pdf

14. SS SQL AS NoSQL

15. SQL Server Data Mining: Analysis Services http://sqlserverdatamining.com

16.

17. Data mining add-in for business analysts • Ease of use • Rich data mining • Scalable

18.

19.

20.

21. Rowset Output with Scores Varchar NVarchar Office PDF

22. Documents Full-Text Keyword Index “FTI” iFilters Semantic Document Similarity Index “DSI” Semantic Database Semantic Key Phrase Index – Tag Index “TI”

23. Simplified Chinese British English Portuguese Chinese (Hong Kong SAR, PRC) Spanish Chinese (Singapore) Chinese (Macau SAR)

24. 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

25.

26.

27.  http://download.microsoft.com/download/3/B/9/3B9 FBA69-8AAD-4707-830F- 6C70A545C389/Introducing_Azure_Machine_Learnin g.pdf

28.  http://datacamp.com

29.   https://github.com/jakevdp/sklearn_pycon2015

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

31.

32.

33.

34.

35. Mutable Immutable Classic Open Source Java Scala .NET Now Open Source C#, C++, VB.NET F#

36.   http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From- First-Principles   http://tomasp.net/

37.

38. 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#

39. 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#

40. 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#

41. 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#

42. 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

43.

44. Conference: http://www.kdd.org/

45.

46.

47.

48.

49. 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

50.  http://datascience.sqlpass.org

Microsoft Data Science Technologies: Architecture Edition 201509

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