Machine Learning with SQL Server 2016 & R Dinesh Asanka Senior Architect – Technology VirtusaPolaris

Dinesh Asanka  Senior Architect – Technology at VirtusaPolaris  15+ years DBA Experience  Visiting Lecture at Sri Lanka Institute Technologies. Intro to R & Data Science Tools in the MS Stack18

What is R  A language platform  Functional language optimized for statistics and data science  Data visualization framework  Provided as Open Source  A community  3M+ statistical analysis and machine learning users  Taught in most university statistics programs  Active user groups across the world  An ecosystem  CRAN: freely available packages, test data and evaluations  Many applicable to big data if scaled

R is growing  R is used by 70% of data miners  Rexer, Sept 2013  R is the highest paid IT skill  Dice.com, Jan 2014  R most used-data science language after SQL  O'Reilly, Jan 2014  R is #6 of all programming languages  REdMonk, Jan 2015  R is growing faster than any other data science language  KDNuggs  R is the fastest-growing language on StackOverflow  Revolutionanalytics, December 2015

R and RStudio  R Project for Statistical Computing   RStudio  May 2016 Intro to R & Data Science Tools in the MS Stack5

Challenges in R

How Can SQL Server Help?  SQL Server 2016 has the option of executing R scripts in SQL Server.  Can use familiar T-SQL.  Return prediction and plots  Use in-memory, ColumnStore Indexes.

SQL Server R Services  R services is a new feature in SQL Server  Available from Express to Enterprise Edition.  No need for data move

Administering R Services in SQL Server 2016  Install and enable SQL 2016 & R Services  Install SQL Server 2016  Install either SQL Server R Services (In-Database) or the new Microsoft R Server (Standalone)  Enable R scripts within TSQL  EXEC sp_configure 'external scripts enabled', 1  Grant permission to read data  ALTER ROLE [db_datareader] ADD MEMBER...  Grant permission to run algorithms  ALTER ROLE [db_rrerole] ADD MEMBER...

Other Integration  R Services supports resource governance similar to other SQL Server feature.

Key Challenges  Different Roles – Data Scientist / Developers / Statisticians / DBA  Integrating with Other runtime – SSIS etc  Security ?

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