1. R at Microsoft Joseph Rickert jrickert@Microsoft.com 9/15/2018 1:13 PM
© Microsoft Corporation. All rights reserved.

2. Microsoft Integrates R

3. One R to Rule them All Link 9/15/2018 1:13 PM
© Microsoft Corporation. All rights reserved.

4. Predictive Analytics with Microsoft
9/15/2018 1:13 PM
Predictive Analytics with Microsoft
Data
SQL Server 2016 Big-data R analytics integrated with SQL Server database
HDInsight Cloud-based Hadoop clusters
Develop
Microsoft R Server Big-data R with distributed and in-database computing
Visual Studio R Tools for Visual Studio: integrated development environment for R
Deploy
Azure ML Studio ML, Python and R in cloud-based Experiment workflows
Cortana Analytics Suite Cloud-based R APIs and Virtual Machines
Consume
PowerBI Computations and charts from R scripts in dashboards
Excel With Azure ML Web Services plug-in
© Microsoft Corporation. All rights reserved.

5. SQL Server

6. Microsoft R Server is the Bridge
9/15/2018 1:13 PM
Microsoft R Server is the Bridge
MRS Components
MRS
Azure Cloud
Azure Machine Learning
HD Insights
SQL Server
Power BI
© 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. R in SQL Server 2016 … on Linux!
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R in SQL Server 2016 … on Linux!
© Microsoft Corporation. All rights reserved.

8. Server & Tools Business
9/15/2018 1:13 PM
SQL Server 2016 Built-in in-database analytics
Example Solutions
Fraud detection
Sales forecasting
Warehouse efficiency
Predictive maintenance
Extensibility ? R
R Integration
Microsoft Azure Machine Learning Marketplace
New R scripts
010010
100100
010101
010010
100100
010101
Data Scientist
Analytic Library
Interact directly with data
010010
100100
010101
010010
100100
010101
Data Developer/DBA
Manage data and
analytics together
T-SQL Interface
Relational Data
Built-in to SQL Server
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries.
The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

9. Microsoft R Server

10. ScaleR Functions & Algorithms
Data Step
Statistical Tests
Variable Selection
Data import – Delimited, Fixed, SAS, SPSS, OBDC
Variable creation & transformation
Recode variables
Factor variables
Missing value handling
Sort, Merge, Split
Aggregate by category (means, sums)
Chi Square Test
Kendall Rank Correlation
Fisher’s Exact Test
Student’s t-Test
Stepwise Regression
Simulation
Sampling
Simulation (e.g. Monte Carlo)
Parallel Random Number Generation
Subsample (observations & variables)
Random Sampling
Cluster Analysis
Descriptive Statistics
Predictive Models
K-Means
Min / Max, Mean, Median (approx.)
Quantiles (approx.)
Standard Deviation
Variance
Correlation
Covariance
Sum of Squares (cross product matrix for set variables)
Pairwise Cross tabs
Risk Ratio & Odds Ratio
Cross-Tabulation of Data (standard tables & long form)
Marginal Summaries of Cross Tabulations
Sum of Squares (cross product matrix for set variables)
Multiple Linear Regression
Generalized Linear Models (GLM) exponential family distributions: binomial, Gaussian, inverse Gaussian, Poisson, Tweedie. Standard link functions: cauchit, identity, log, logit, probit. User defined distributions & link functions.
Covariance & Correlation Matrices
Logistic Regression
Classification & Regression Trees
Predictions/scoring for models
Residuals for all models
New in v7.3
Classification
Decision Trees
Decision Forests
Gradient Boosted Decision Trees
Naïve Bayes
Coming in v7.4
Combination
PEMA-R API
rxDataStep
rxExec

11. Write Once  Deploy Anywhere
Set the desired compute context for code execution…..
Local System (default) 
rxSetComputeContext("local") # DEFAULT!! 
rxSetComputeContext(RxLsfCluster(<data, server environment arguments>)) 
rxSetComputeContext(RxHpcServer(<data, server environment arguments>)) 
rxSetComputeContext(RxHadoopMR(<data, server environment arguments>)) 
rxSetComputeContext(RxTeradata(<data, server environment arguments>))
Same code to be run anywhere …..
# Summarize and calculate descriptive statistics from the data airDS data set
adsSummary <- rxSummary(~ArrDelay+CRSDepTime+DayOfWeek, data = airDS)
# Fit Linear Model
arrDelayLm1 <- rxLinMod(ArrDelay ~ DayOfWeek, data = airDS) summary(arrDelayLm1)

12. Azure ML

13. Azure Cloud Infrastructure
North Europe
Ireland
West Europe
Netherlands
Central US
Iowa
North Central US
Illinois
China North *
Beijing
US Gov
Iowa
East US
Virginia
Japan East
Saitama
China South *
Shanghai
West US
California
East US 2
Virginia
Japan West
Osaka
India East
TBD
India West
TBD
US Gov
Virginia
South Central US
Texas
East Asia
Hong Kong
Over the last few years we’ve truly delivered a huge infrastructure to enable us to grow our services at scale around the globe. Whether it’s our flagship facilities in Quincy, Washington or Boydton, Virginia, or some of the newly announced facilities in Shanghai, Australia and Brazil, it really is key for us to make smart investments around the world to deliver services in a resilient and reliable fashion.
A lot of people ask, what goes into site selection at Microsoft and how do we decide where to place our datacenter investments? There are over thirty-five factors in our site selection criteria. But really, the top elements are around proximity to customers and energy and fiber infrastructure, insuring that we have the capacity and the growth platforms to be able to grow our services.
Another key element is about skilled workforce. We need to insure that we have the right people to run and operate our datacenters on a day to day basis.
SE Asia
Singapore
Australia East
Sydney
Brazil South
Sao Paulo
Australia West
Melbourne
100+ datacenters
One of the top 3 networks in the world (coverage, speed, connections)
2 x AWS and 6x Google number of offered regions
G Series – Largest VM available in the market – 32 cores, 448GB Ram, SSD…
Operational
Announced
* Operated by 21Vianet

15. R in Azure ML Studio 9/15/2018 1:13 PM https://studio.azureml.net/
© Microsoft Corporation. All rights reserved.

16. Aircraft Maintenance : Training
Historical black box sensor records and maintenance events for many aircraft
Train and compare various models to predict maintenance events
Scoring rules to predict likely maintenance events from sensor data

17. R as an Azure Web Service
9/15/2018 1:13 PM
R as an Azure Web Service
© Microsoft Corporation. All rights reserved.

18. Excel

19. 9/15/2018 1:13 PM
R in Excel
Details:
© Microsoft Corporation. All rights reserved.

20. Jupyter Notebooks

21. R in Jupyter Notebooks in Azure ML

22. PowerBI

23. R in PowerBI: Aircraft Predictive Maintenance
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R in PowerBI: Aircraft Predictive Maintenance
© Microsoft Corporation. All rights reserved.

24. Visual Studio: RTVS

25. R in Visual Studio: RTVS
9/15/2018 1:13 PM
R in Visual Studio: RTVS
© Microsoft Corporation. All rights reserved.

26. Microsoft Supports the R Project

27. 200 Local R User Groups Worldwide
Get sponsored, or find a user group near you: msdsug.microsoft.com

28. Working with the R Foundation
Supporting the R user community
Continuing the growth of the R Project
Linux Foundation collaborative project
Non-profit trade organization

29. Thank you Download Revolution R Open: mran.revolutionanalytics.com
More at:
blog.revolutionanalytics.com
Joseph Rickert
@revojoe