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. Delivered at SQL Saturday Atlanta.

1. Microsoft Technologies
for Data Science
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

11. http://www.kdnuggets.com/polls/2014/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/

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

14. SS
SQL
AS
NoSQL

15. Database
Services
SQL Server*
SQL Azure*
Replication
SQL Azure Data Sync*
Full Text & Semantic
Search*
Data Integration
Services
Integration Services*
Master Data Services*
Data Quality Services*
StreamInsight*
Project “Austin”*
Analytical
Services
Analysis Services*
Data Mining
PowerPivot*
Reporting
Services
Reporting Services*
SQL Azure Reporting*
Report Builder
Power View*

16. Data Mining
SSMS SSIS PowerShell .NET

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

24. Rowset
Output
with Scores
Varchar
NVarchar
Office
PDF

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

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

27. Time in Seconds vs. Number of Documents
(2011 – K. Mukerjee, T. Porter, S. Gherman – Microsoft)

29. Video Intro

31. Difference in Proportions Test
Lexicon Based Sentiment Analysis
Forecasting-Exponential Smoothing
Forecasting - ETS+STL
Forecasting-AutoRegressive Integrated
Moving Average (ARIMA)
Normal Distribution Quantile Calculator
Normal Distribution Probability Calculator
Normal Distribution Generator
Binomial Distribution Probability Calculator
Binomial Distribution Quantile Calculator
Binomial Distribution Generator
Multivariate Linear Regression
Survival Analysis
Binary Classifier
Cluster Model
datamarket.azure.com

33. http://azure.microsoft.com/en-us/pricing/details/machine-learning/

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

40. 
 http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From-
First-Principles
 http://channel9.msdn.com/posts/Erik-Meijer-Functional-Programming-From-
First-Principles

42. http://www.kdd.org/

47. 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

48. 
 http://www.inside-r.org/

 http://datascience.sqlpass.org