1. Microsoft R Bill Jacobs
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Microsoft R
Bill Jacobs
Microsoft Advanced Analytics Product Management
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Capturing the Data Dividend
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Capturing the Data Dividend
$1.6T Data Dividend 1
Transform your products
Engage your customers
Optimize your operations
Empower your employees
1 Additional business value captured by companies that are leaders in using data assets to their advantage
Source: IDC, 2014
© 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.

3. Success requires convergence of skills
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Success requires convergence of skills ?
Data Science
Data Engineering
Data
Science Team
Data Dividend
Business
Acumen
Ubiquitous Analytical Apps
Application
Development
Data
Management
© 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.

4. Barriers to analytics adoption
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Barriers to analytics adoption
Academic Rigor
Talent Competition
Integration Complexity
Tool, Skill & Culture Gaps
Data Volume, Diversity
Security & Governance
Rapid Platform Evolution
Low Experimentation Rate
Complex Operationalization
Talent Scarcity
Low Productivity
Complex Infrastructure
Slow Innovation
Legacy Products
Irregular Workload
High Cost
© 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.

5. Microsoft R Server & SQL R Services
Build 2015
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Microsoft R
From Data To Action Leveraging Open Source R
Data Sources
People
Microsoft R Server & SQL R Services
Apps
Apps
Sensors and devices
Automated Systems
INTELLIGENCE
DATA
ACTION
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6. What is A statistics programming language A Statistics Language
A data visualization tool
Open source
A Statistics Language
What is
2.5+M users
Taught in most universities
Thriving user groups worldwide
New and recent grad’s use it
Growing Community
7000+ free algorithms packages in CRAN
Scalable to big data
Rich Ecosystem
Rich application & platform integration

7. R Adoption Continues to Accelerate

8. R Server: Scale-out R, Enterprise Class!
100% compatible with open source R
Full ecosystem access: any code/package that works today with R will work in R Server
Wide range of scalable and distributed R functions
Examples: rxDataStep(), rxSummary(), rxGlm(), rxDForest(), rxPredict()
Ability to parallelize R functions
Create high-performance custom scripts and functions using parallelism
Write Once Deploy Anywhere Portability
Works across on-premises and cloud-based systems

9. Scalable Analytics from R
Microsoft Ignite 2015
9/20/2018 1:42 AM
Scalable Analytics from R
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

10. Scales to Billions of Rows, TBs of Data
Configuration:
HDI cluster size: 100 nodes
Edge node: D14 V2 (16 cores, 112GB)
Worker Nodes: D12 (4 cores, 28GB)
Dataset: NYC Taxi dataset, filtered, transformed, and duplicated
Number of columns: 19
Format: CSV
fs.azure.selfthrottling.read.factor=1

11. Portability & investment assurance
Cloud
Windows
Linux
HDInsight
Hadoop & Spark
Hortonworks
Cloudera
MapR
CRAN
Microsoft R Open
DistributedR
ScaleR
ConnectR
DeployR
RTVS
Microsoft R
R Server portfolio
EDW
SQL Server 2016
Teradata Database
SQL Server 2016 EE
SQL Server 2016 SE
RDBMS
Windows
Linux
Desktops & Servers
Write Once – Deploy Anywhere

12. Embed Prediction in Apps

13. Leveraging the cloud Several Alternatives
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Leveraging the cloud
Several Alternatives
In the Cloud
Evolutionary, blended, hybrid approaches will help to avoid big disruptions
Embracing the cloud from On-Premises is complicated.
On- Premises
We anticipate that most organizations will have substantial data assets on-prem and in the cloud at the same time.
© 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.

14. R from Microsoft brings
Peace of mind
Efficiency
Speed and scalability
Flexibility and agility

15. Microsoft R Addresses Barriers
9/20/2018 1:42 AM
Microsoft R Addresses Barriers
Embrace Open Source
Evolutionary Path to Cloud
Democratize Data Science
Skill Re-Use
Transparent Scaling
Facilitate Collaboration
Decouple Data Science from Platforms
Leverage Hybrid Cloud Architecture
Accelerate Experimentation
Streamline Deployment
Broaden The Talent Pool
Increase Productivity
Modernize Infrastructure
Maximize Innovation
Drive Down TCO
© 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.

16. Call to Action Learn more about Microsoft R… on our web page
Watch a video deep dive into Microsoft R Technology
See how R runs inside SQL Server with R Services
Spin-up a Microsoft Data Science VM in Azure
Download a copy of Microsoft R Server from MSDN
Follow Microsoft R via the Revolutions R Blog

17. 9/20/2018 1:42 AM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

19. 6,500+ Packages Standing on the Shoulders of Giants
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Standing on the Shoulders of Giants
A Vast Community of R Users Share Rich Repositories of Pre-Built Solutions
Tool Use for Data Science
O’Reilly Data Science Survey 2014 (max=80%)
CRAN
The Comprehensive R Archive Network
Resources For All Fields of Analysis
6,500+ Packages
+ Bioconductor + Github
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.