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.

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.

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.

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

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.

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.

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.

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.

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.

Introducing R

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

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

Introducing Microsoft R

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.

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

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

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.

Introducing SQL Server R Services

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

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.

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.

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

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.

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.

Application before and after With Intelligence, handle suspect customers

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

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

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

Next Steps

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Please evaluate this session 1/2/2018 6:05 AM Please evaluate this session Your feedback is important to us! From your PC or Tablet visit MyIgnite at http://myignite.microsoft.com From your phone download and use the Ignite Mobile App by scanning the QR code above or visiting https://aka.ms/ignite.mobileapp © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

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.