The document discusses various Microsoft technologies and tools for data science, emphasizing SQL Server, Azure Machine Learning, and data mining capabilities. It highlights the integration of these technologies with Excel and their usability for business analysts and developers. Key resources and links to further information on these tools are also provided.

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

2. Networking
Interactive

4. 
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6. 
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7. 
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9. 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/

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

13. SS
SQL
AS
NoSQL

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

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

20. Rowset
Output
with Scores
Varchar
NVarchar
Office
PDF

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

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

23. 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

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

27.  http://datacamp.com

28. 
 https://github.com/jakevdp/sklearn_pycon2015

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

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

35. 
 http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From-
First-Principles

 http://tomasp.net/

37. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS
Semantic Search
Azure Machine
Learning
F#

38. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search
Azure Machine
Learning
F#

39. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
F#

40. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
Students; Web Applications (R & Python)
Input: Azure-based Sources
Quickly Deploy
F#

41. Technology Use Case
SQL Server Analysis
Services
SQL Server Licensed
Windows Authentication
Groups
Excel Add-In for SSAS (Ditto) + Excellent Bridge for Excel Users
Development Server
Semantic Search SQL Server: Good for Volume Processing
Azure Machine
Learning
Students; Web Applications (R & Python)
Input: Azure-based Sources
Quickly Deploy
F# .NET Development

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

48. 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

49.  http://datascience.sqlpass.org