Analytics using R in SQL Server for beginners.

1. Analytics with R in SQL Server 2016
Chennai SQL Server User Group

2. Hariharan
Lead Consultant, Your SQL Man (I) Pvt Ltd
Microsoft Certified Trainer
Microsoft Certified Solution Expert
Business Intelligence & Data Management and Analytics
SAP HANA & Business Objects
Active Speaker in DAGEOP DATA DAY
Blog
http://dataap.org/author/hariharanr/
Twitter
@imhariharanr
Linked In
hariharan-r-12635640

3. Topics
• Analytics
• Introduction to R
• Challenges
• R in SQL Server 2016
• Advanced Analytics in R
• Visualization with R
3

4. Analytics
What
Happened? Why
Happened?
What Will
happen?
What should I
do?
Descriptive Diagnostic Predictive Prescriptive

5. Introduction to R
• It is a Open Source
• A statistics programming language
• A data visualization tool
• It has a very big community with 2.5+ M users
• Scalable to big data
• Rich application & platform integration

6. Introduction to R
0
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2011 2012 2013 2014 2015 2016
R Packages in CRAN

7. Demo

8. Challenges in R
• Data Movement
• Moving data from database to R
• Operationalization
• How do I call R script from my application
• Scale and Performance
• R runs in single threaded and only accommodates datasets that
fit into available memory

9. SQL Server with R
• Data Movement
• Reduce or eliminate data movement with In-Database analytics
• Operationalization
• T-SQL Stored Procedure
• Scale and Performance
• In-memory, columnstore indexes. Leverage RevoScaleR support
large datasets and parallel algorithms

10. SQL Server with R
• It a new feature in SQL Server 2016
• New Workload
• Integrated highly popular R language for enterprise
customers
• Intelligent & Predictive Applications

11. R Components

12. R Components
DeployR
• RESTful APIs for easy
integration from java,
• JavaScript, .NET
• Enterprise authentication &
security
• Horizontal Scaling
ConnectR
• High-speed & direct
connectors
Available for:
• High performance XDF
• SAS, SPSS, delimited & fixed
format text data files
• Hadoop HDFS (text & XDF)
• Teradata Database & Aster
• EDWs and ADWs
• ODBC
DevelopR
• Develop R using familiar
tools
• RTVS
• R Studio
• R Client
SclaeR
• Ready-to-use high
performance big data
analytics
• Fully-parallelized analytics
• Data prep & data distillation
• Descriptive statistics &
statistical tests
• Range of predictive functions
• Wide data sets supported –
thousands of variables
DistributedR
• Distributed computing
framework
• Delivers cross-platform
portability
CRAN
• Open source R interpreter
• Freely available huge range
of R algorithms (packages)
• Huge community of users
Microsoft R Open
• Based on open source R
• High performance math
library to speed up linear
algebra functions
• Checkpoint package to easily
share R code and replicate
results using specific R
package versions

13. Tools
• Microsoft R Client
• Microsoft R Open
• Visual Studio R Tools
• R Studio
• R GUI

14. End to End Scenario
Developer
DBA
Data
Engineer
Data
Scientist
Data Exploration
and Predicative
Modeling
Operationalizing
the R Code
Managing
my server
Authoring
workflows

15. SQL Server with R

16. SQL Server with R

17. SQL Server with R

18. Demo

19. Advanced Analytics - R & Data
Optimization
SQL Server
R
Client
• ScaleR Library
• Compute Context
• Parallel Processing
• Algorithm Parameters

20. Flow

21. Visualization
http://www.r-graph-gallery.com/all-graphs/

22. Demo

23. Thank You