1. Dane Stubben QuintilesIMS Database Manager Dane@KelsandDane
Microsoft R Explained
Dane Stubben
QuintilesIMS Database Manager

2. TAILGATE When: Between sessions Where: Parking lot Why: Get up
Move around
Network
Grab a drink or snack

3. What is R? Powerful statistical programming language
Data Visualization tools
Scalable to Big Data
Most widely used data analysis software
Used by 2M+ data scientists, statisticians, and analysts
Thriving open-source community
Leading edge of analytics research
Provides a suite of operators for calculations on arrays, lists, vectors, and matrices.
Provides graphical facilities for data analysis and display.
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4. History of R 1993: Research Project 1995: Open-source Release
Ross Ihaka and Robert Gentlemen – Auckland, NZ
1995: Open-source Release
Compatible w/ the IBM S statistical language
1997: R Development Core Team
2000: R Release
2003: R Foundation
2004: First international user conference
2007: Revolution Analytics founded
2013: Revolution R Open Release
2015: Microsoft acquires Revolution Analytics
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5. Microsoft R Editions Microsoft R Open
Open-source R Distribution
Enhanced and distributed by Revolution Analytics
SQL Server R Services or R Services (In-Database)
Built-in Advanced Analytics
Standalone Server Capability
Integrated w/ SQL 2016 Enterprise
Used to develop and deploy R packages in a development environment
Microsoft R Server
Microsoft R Server for Redhat Linux, SUSE Linux, Teradata DB, Hadoop on Redhat
Microsoft R Server Developer Edition
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6. Microsoft R Editions Microsoft R Client
Separate, free installer
Develop solutions that can be deployed to R Services (In-Database) or Microsoft R Server running on Windows, Teradata, or Hadoop
Microsoft Data Science Virtual Machine
Azure VM pre-installed and configured with common data analytics and machine learning tools:
Microsoft R Server Developer Edition
Anaconda Python distribution
Jupyter notebook (w/ R, Python kernels)
Visual Study Community Edition
Power BI desktop
SQL Server 2016 Developer Edition
Machine Learning tools:
Computational Network Toolkit (CNTK)
Vowpal Wabbit
XGBoost
Rattle
Mxnet
Libraries in R and Python for Azure Machine Learning
Git
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7. I Did The Math Microsoft R Open Microsoft R Server Multi-threaded
Capacity
Handles large size datasets and models
Speed
Overcome R’s traditional memory limits
Parallelize across cores and nodes
Minimize data movement w/ in-database
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8. RStudio
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9. Microsoft R Client
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10. R Services (In-Database)
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11. R Libraries / Components
ScaleR
Collection of proprietary functions in Microsoft R Client and R Server used for practicing data science at scale
Works on both small and large datasets
Enables analysis of very large data sets that would otherwise exceed the memory and processing capabilities on the machine.
DeployR
Turns R Scripts into analytic web services
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12. Microsoft Data Science Virtual Machine
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13. Advanced Analytics w/ Data Science
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14. Data Science Focus Big Data Engineering Data Visualization
Advanced Analytics
Cybersecurity
Healthcare
Preventative Policies (Reactive vs Proactive)
Virulent outbreak
Intervention Deployment
Personalize Healthcare Delivery
Artificial Intelligence / Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Autonomous Systems (Robots!)
GIS
Research
Politics
Finance
Marketing
Education
Sports Analytics
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15. Mathematics / Statistics Computer/DB Languages
Data Science Skillset
Mathematics / Statistics
Computer/DB Languages
Computer Database
Business Skills
Tools
Linear Algebra R
SQL
SSIS / BI
Statistics
Python
Hadoop
Data Modeling
RStudio
Logic
Spark / Scala
Oracle
Communication
Microsoft R Open
Discrete Optimization
Data Visualization
MongoDB
Analytical Curiosity
Microsoft R Client
Calculus
Machine Learning
Continuous Learner
Microsoft R Server
Artificial Intelligence
Tenacity
R Services (In-Database)
Julia
Adaptability
Microsoft Data Science VM
Java
SAS
T-SQL
Tableau
MATLAB
Octave
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16. Build-out Training Environment
R Environment
Microsoft Environment Route:
SQL R Services – Download and Install Feature in SQL Server 2016 Developer
Microsoft SQL R Developer – Download and Install
R System Route:
R – Download and Install OR
RStudio Server – Download and Install
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17. Build-out Training Environment
R Client
Microsoft Environment Route:
Microsoft R Client – Download
RStudio– Download and Install
R System Route:
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18. Build-out Training Environment
R Examples
MRAN Tutorials
R Services (In-Database) Data Science Walkthroughs
R Examples
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19. Microsoft R References
MRAN Packages
R Project for Statistical Computing
Comprehensive R Network
R Services for SQL Server 2016 (YouTube)
R Services for SQL Server 2016 KB
Data Science with SQL Server R Services
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20. Community and Learning
Twitter
@MicrosoftR
@revoDavid
@RBloggers
@BecomingDataSci
@RWomenTaskForce
Online Community
PASS Big Data Virtual Chapter
PASS Data Science Virtual Chapter
PASS Women in Technology Virtual Chapter
Microsoft R Server Tiger Team <- How cool of a team name is that?
Online Training
DataCamp
Pluralsight
Coursera
edX
Lynda.com <- Omaha/Lincoln libraries have free access
Microsoft Virtual Academy
MIT
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21. Becoming a Data Scientist References
Data Science Learning Camp
Doing Data Science
The Data Science Handbook
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22. Thank our Sponsors!
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23. Questions?
Dane Stubben URL: KelsandDane
Event & Session Evals – ONLINE ONLY
Event:
Session:
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