1. Explore Microsoft SQL Server 2016 R services
1/2/2018 6:05 AM
BRK1012
Explore Microsoft SQL Server 2016 R services
Bill Jacobs
Sr. Product Marketing Manager
Sumit Kumar
Sr. Program Manager
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

2. Session objectives and takeaways
Tech Ready 15
1/2/2018
Session objectives and takeaways
Session objective:
Introduce Microsoft SQL Server R Services:
Show how Microsoft SQL Server can help meet an increasingly “predictive” world by supporting the R language inside the database.
Show how IT and Data Science practitioners can collaborate to create predictive models and deploy them using SQL Server R Services.
© 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, Windows Vista 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. Explore Microsoft SQL Server 2016 R Services
1/2/2018 6:05 AM
Explore Microsoft SQL Server 2016 R Services
Imperative of Predictive Analytics
Why R?
What is Microsoft R?
A Demonstration of SQL Server R Services
© 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. Connected data CLOUD MOBILE Machine learning Any data In-memory
Hadoop
Interactive Dashboards
Ad hoc analysis
Operational reporting
MOBILE
Complex implementations
Spreadmarts
Siloed data
Transactional systems
Enterprise data warehouse
OLAP
ETL

5. Three major trends converging
1/2/2018 6:05 AM
Three major trends converging
Data
Cloud
Intelligence
© 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.

6. From data to decisions and actions
Microsoft Data Insights Summit
1/2/2018 6:05 AM
From data to decisions and actions
What should I do?
What will happen?
Why did it happen?
What happened?
Insight
Diagnostic
[Interactive Dashboards]
Prescriptive
[Recommendations & Automation]
Predictive
[Machine Learning]
Descriptive
[Reports]
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

7. Industries applying advanced analytics
1/2/2018 6:05 AM
Industries applying advanced analytics
Retail & Consumer Products €
Financial Services & Insurance
Government
Manufacturing
Healthcare
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

8. Success requires convergence of skills
1/2/2018 6:05 AM
Success requires convergence of skills ?
Data Science
Data Engineering
Data
Science Team
PredictiveAnalytics
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.

9. Barriers to analytics adoption
1/2/2018 6:05 AM
Barriers to analytics adoption
Academic Rigor
Talent Competition
Integration Complexity
Tool, Skill & Culture Gaps
Data Volume, Diversity
Security & Governance Constraints
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.

10. Introducing R

11. What is A statistics programming language Language Platform
A data visualization tool
Open source
Community
2.5+M users
Taught in most universities
New and recent grad’s use it
Thriving user groups worldwide
Ecosystem
8000+ free algorithms in CRAN
Scalable to big data
Rich application & platform integration

12. R Adoption is on a Tear, but Open Source R is not Enterprise Class
Data Flows Overwhelm Open Source R
In-Memory Operation
Lack of Parallelism
Expensive Data Movement & Duplication
Not enterprise ready
Inadequacy of Community Support
Lack of Guaranteed Support Timeliness
No SLAs or Support models

13. Introducing Microsoft R

14. From data to intelligence to action
Build 2015
1/2/2018 6:05 AM
From data to intelligence to action
On Prem or in the Cloud
Cortana Intelligence
Data Sources
People +
Apps
Apps
Microsoft R Server & SQL R Services
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.

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

16. Introducing Microsoft R Server
Linux, Windows, Hadoop & Teradata, and …… SQL Server 2016
CRAN
Microsoft R Open
DistributedR
ScaleR
ConnectR
DeployR
IDE
R Server Technology
High-performance, Scalable R
100% open source R
Compatible with CRAN, Bioconductor, MRAN, GitHub
Massively Scalable
Multi-platform
Big data connectivity
Hybrid architecture capable
Choice of IDE
Open Source Components
Licensed Components

17. Microsoft R portfolio Community Commercial Microsoft R portfolio
1/2/2018 6:05 AM
Microsoft R portfolio
Microsoft R portfolio
Community
Commercial
SQL Server
R Services
R Open
R Server
Windows
Red Hat
SUSE
Hadoop
Teradata
© 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.

18. Introducing SQL Server R Services

19. Introducing SQL Server 2016 R services
Simplicity and agility
Scalability and choice
Cost effectiveness
Enterprise speed and scale
Near-DB analytics
Parallel threading and processing
Reuse SQL skills for data engineering
In-database deployment
Memory and disk scalability
No R memory limits
Write once, deploy anywhere
Included in SQL Server 2016
Reuse and optimize existing R code
Eliminate data movement

20. SQL Server 2016 New Capabilities:
1/2/2018 6:05 AM
SQL Server 2016 New Capabilities:
Move the Work to the Data
+ SQL
SQL Server 2016
In-Database Execution of R, ScaleR & CRAN
In-Database Execution of:
R Scripts
T-SQL Scripts containing R
Run R From the Query Processor
Retrieve Models, Scores, Transformed Data
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

21. How Does Remote Execution Work?
1/2/2018 6:05 AM
How Does Remote Execution Work?
Load Block At A Time
Analyze Blocks In Parallel
Big Data
Distribute Work, Compile Results
“Pack and Ship” Requests to Remote Environments
AlgorithmMaster
Predictive Algorithm
Work
The Results:
Even Faster Computation
Larger Data Set Capacity
Fewer Security Concerns
No Data Movement, No Copies
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

22. Microsoft R Server delivers
The industry’s broadest R-based platform
Enterprise scale atop spark, hadoop, RDBMSs & EDWs
Freedom from memory limits
Choice of Windows and Linux IDEs
Stable deployment
Write-once-deploy-anywhere portability
Investment protection
Hybrid cloud evolution

23. Demo: SQL + R Sumit Kumar Microsoft Build 2016 1/2/2018 6:05 AM
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

24. Typical advanced analytics lifecycle
1/2/2018 6:05 AM
Typical advanced analytics lifecycle
Prepare: Assemble, cleanse, profile and transform diverse data relevant to the subject.
Model: Use statistical and machine learning algorithms to build classifiers and regression models
Operationalize: Make predictions and visualizations to support business applications
Operationalize
Model
Prepare
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

25. Application before and after
With Intelligence, handle suspect customers

26. From the DB perspective
Shopping carts created
ORDERS_INCOMING
LINEITEM_INCOMING
MODELS
…..
…..
Shopping cart
Intelligence
Submitted orders O_ORDERSTATUS = ‘S’
ORDERS
LINEITEM
Submitted orders
…..

27. Data Exploration and Predictive Modeling (‘Data Scientist’)
Working from my R IDE on my workstation, I can execute an R script that runs in-database, and get the results back.
sqlCompute <- RxInSqlServer()
rxSetComputeContext(sqlCompute)
linModObj <- rxLinMod()
Execution
Data Scientist Workstation 1
Script 2
SQL Server 2016
R IDE
Advanced Analytics Extensions
Results 3
Microsoft R Open
Microsoft R Open
Microsoft R Server
Microsoft R Server

28. Advanced Analytics Extensions
Operationalizing R code through T-SQL (App Developer)
I can call a T-SQL System Stored Procedure from my application and have it trigger R script execution in-database. Results are then returned to my application (predictions, plots, etc). 1
Call System Stored Procedure 2
The stored procedure contains R code and executes in-database.
Application
Results: scores, plots 3
SQL Server 2016
Advanced Analytics Extensions
exec sp_execute_external_script
@ languague = ‘R’
, @script =
-- R code --
Microsoft R Open
Microsoft R Server

29. Next Steps

30. Free IT Pro resources To advance your career in cloud technology
Microsoft Ignite 2016
1/2/2018 6:05 AM
Free IT Pro resources To advance your career in cloud technology
Plan your career path
Microsoft IT Pro Career Center
Cloud role mapping
Expert advice on skills needed
Self-paced curriculum by cloud role
$300 Azure credits and extended trials
Pluralsight 3 month subscription (10 courses)
Phone support incident
Weekly short videos and insights from Microsoft’s leaders and engineers
Connect with community of peers and Microsoft experts
Get started with Azure
Microsoft IT Pro Cloud Essentials
Demos and how-to videos
Microsoft Mechanics
Connect with peers and experts
Microsoft Tech Community
© 2016 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

31. Please evaluate this session
1/2/2018 6:05 AM
Please evaluate this session
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© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

32. 1/2/2018 6:05 AM
© 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.