Presented by Andrie DeVries to Munich R User Group, June 7 2013

1. Revolution ConfidentialREvolution Confidential
Revolution Confidential
Andrie de Vries
Business Services Director - Europe
DeployR
Revolution R Enterprise
with Business Intelligence
Applications
Munich R user group
7/6/2013

2. Revolution ConfidentialREvolution Confidential
Revolution Scales R to the Enterprise…
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Scale
Performance
Scale
 Distributed high
performance analytics
Performance
 Build & deploy analytics
applications easily
Enterprise Readiness
 High speed connectors to
enterprise environments
 Full-service customer
support, consulting and
training
Enterprise
Readiness
Confidential to Revolution Analytics

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Integration Layer:
DeployR makes R accessible
 Seamless
Bring the power of R to any web enabled application
 Simple
Leverage common APIs including JS, Java, .NET
 Scalable
Robustly scale user and compute workloads
 Secure
Manage enterprise security with LDAP & SSO
3
R / Statistical
Modeling Expert
DeployR
Data Analysis
Business Intelligence
Mobile Web Apps
Cloud / SaaS
Deployment
Expert
Confidential to Revolution Analytics

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On-Demand Analytics with RevoDeployR
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Market Basket Analysis using Java Script and R enabled by DeployR
•User selection drives Java
Script…
•which drives R script…
•which drives Java Script to
return to user data and graphics
needed…
•…enabled by DeployR API’s
Confidential to Revolution Analytics

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Revolution R Enterprise - Deployment
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Hadoop Cluster
Individual
Analysts
Database Appliance
Deployment
Servers
Business Users
HDFS
S
S
S
H
O
S
T
High Workload
Clusters

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RevoDeployR – Key Advantages
 Unlocks the power of R
 to any 3rd party application
 Easy to use API
 Rapid deployment
 Scalability
 Add nodes as you need
them
 Separation of expertise
 Statistician - writes R code
 Application programmer –
calls the API to execute an
R script, and gets the
output.
 Designed to be
Enterprise Ready
 Comprehensive collection
of Web Service APIs
 Enterprise Security
 Stateful and Stateless
execution of R
Code/Scripts
 Asynchronous Job
Execution
 Repository for managing R
objects and files
 Administration
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RevoDeployR - Architecture
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RevoDeployR Web Services
Client libraries (JavaScript, Java, .NET)
Desktop
Applications
(i.e. Excel)
Business
Intelligence
(i.e. QlikView)
Interactive Web or
Mobile
Applications
HTTP/HTTPS – JSON/XML
Session
Management
Authentication
Data/Script
Management
Administration
R
R
Programmer
Application
Developer
End User
R
R
Admin

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RevoDeployR - Server
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RevoDeployR Web
Services API
Grid Management
Framework
Spring3 Framework J2EE Framework
NoSQL Database
Management Console
Grid Node
R
R
R
Grid Node
R
R
R
Grid Node
R
R
R
Applications Admin
R R Session

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R Scripts and R Code
 Stateless execution of pre-defined R Scripts
 Supports both Anonymous and Authenticated access
 Project is automatically created, inputs loaded, R script
executed, outputs returned, and session destroyed
 Stateful execution
 Must be an authenticated user
 Project is explicitly created/destroyed
 R script or R code executed in the defined project
 Jobs
 Code and Script can be executed as a background job
 Results are persisted and can be retrieved later

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Role of the application developer
 Define RevoDeployR Server connection (URL)
 *Authenticate
 *Create/Open Project
 Execute Script or Execute Code
 Create list of inputs
 R Objects
 Create lists of named outputs (if any)
 R Objects
 *Close R Project
* Required for Stateful execution
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RESTful API
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format = json
HTTP POST on API call:
/r/session/create
{
"deployr": {
"response": {
"success": true,
"project": {
"lastmodified": "Thu, 20 Oct 2011 18:27:29 +0000",
"live": true,
"origin": "Project original.",
"longdescr": null,
"name": null,
"projectcookie": null,
"ispublic": false,
"owner": "testuser",
"descr": null,
"project": "PROJECT-5ab61ec0-09b9-44ea-837d-9e6f40a7e8a3"
},
"call": "/r/project/create"
}
}
}
JSON Response
Example HTTP Call to Create a Project

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Stateless Example (JavaScript)
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var exeScript = function () {
…
// set the call back configuration
var callback = { success : plot, failure: fail, scope : this, verbose : true };
/* configuration input for repository script execution */
var scriptConfig = {
filename : 'DeployR - Hello World',
author: 'testuser',
inputs : [R.RDataFactory.createNumeric('input_randomNum', parseInt(num, 10))]
};
// execute RScript
R.DeployR.repositoryScriptExecute(scriptConfig, callback);
};

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Stateful Example
 Use case - Simple Regression
 Upload a CSV file to the RevoDeployR Server
 Get a list of numeric variables
 Run a simple regression using 2 of the variables
 Return a plot
 Implementation
 2 R Scripts
 Read the uploaded CSV and return the list of numeric variables
 Run the regression on the selected variables
 Requires authentication (login)
 R Session is explicitly created after login
 Both scripts execute in the same R Session
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Scalability
 Add compute nodes to handle changing
workload requirements
 Execute code and scripts as background
jobs
 Assign roles to nodes
 Anonymous
 Authenticated
 Jobs
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Resources
 Revolution Analytics
 White Paper
 http://info.revolutionanalytics.com/RevoDeployR-
Whitepaper.html
 Free Academic download
 http://info.revolutionanalytics.com/free-academic.html
 Commercial License
 http://info.revolutionanalytics.com/Buy-Revolution-R-
Enterprise.html
 Jaspersoft
 http://jasperforge.org/projects/rrevodeployrbyrevolutionanalytics
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