integrate your advanced analytics into bi apps and ms office and multiply their value

Revolution ConfidentialREvolution Confidential

Revolution Confidential

David C hampagne

May 8, 2012

Deploying R evolution R E nterpris e with B us ines s Intelligenc e A pplic ations



Our C us tomers Want to… Be more productive Stop cutting and pasting analytics into MS Office applications Get feedback from a wider variety of analytic consumers

Make the company’s “analytic consumers” self-sufficient Provide the model and secure access to data and let them

iterate and learn Provide more timely updates Model updates with new data, so not restricted to “scheduled”

reporting intervals Deliver more value through BI application investment Advanced analytics complements traditional BI reporting, and

can leverage the work already done Elevate the value of the analytics team Once people see what’s possible, they’ll want more



The professor who invented analytic software for the experts now wants to take it to the masses

Most advanced statistical analysis software available

Half the cost of commercial alternatives

2M+ Users

2,500+ Applications

Statistics

Predictive Analytics

Data Mining

Visualization

Finance

Life Sciences

Manufacturing

Retail

Telecom

Social Media

Government

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Power

Productivity

Enterprise Readiness



A dvanced A nalytics and B us ines s Intelligence

Obtain greater insights by adding advanced Analytics Predictive modeling Sales Forecasts Customer Affinity

Associations Clustering and Classification

Expose this capability to the business users

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R is the bes t c hoic e for job

R is a programming language Catalog of over 2500 open-source add-on

packages Community Thousands of contributors, 2 million users Resources and help in every domain

Develop and deploy your models with the same environment

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A dding A dvanc ed A nalytic s

Use the same analytic toolset across applications and platforms Web Reporting and Dashboards Custom Interactive applications Mobile

Desktop Applications Excel Custom Apps via(.NET, Java)

Enterprise Processes via SOA

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R evolution R E nterpris e - Deployment

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Hadoop Cluster

Individual Analysts

Database Appliance

Deployment Servers

Business Users

HDFS

S

S

S

HOST

High Workload Clusters



C us tomer Us e C as es

Major NY Bank using Revolution R Enterprise to Create and Deploy Equity Trading models 500+ Analysts using the developed models

Major Hospital Network doing analytics on clinical data to generate treatment efficacy predictions and capacity forecasting Executive staff using output of analytics to make

business decisions

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Demos

Polling Question #3

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R evoDeployR

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R evoDeployR – K ey A dvantages

Unlocks all 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 - Just writes R code, no need to

know about the application Application programmer – calls the API to

execute an R script, and gets the output.

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R evoDeployR

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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R evoDeployR - A rc hitec ture

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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

RR Programmer

ApplicationDeveloper

End User

RR

Admin



R evoDeployR - S erver

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RevoDeployR Web Services API

Grid Management Framework

Spring3 Framework J2EE Framework

SQL Database WebDAV Repository

Management ConsoleGrid Node

RR

R

Grid NodeR

RR

Grid NodeR

RR

Applications Admin

R R Session



R evoDeployR

Web Services Layer Implemented as RESTful API accessed via

HTTP or HTTPS Support for both JSON and XML formatted

payloads Client libraries in JavaScript, Java and .NET to

make integration easy

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R evoDeployR

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



R evoDeployR

R Developer Create R code, defining inputs and outputs Inputs – R Objects Outputs – Files, Console, Warnings/Errors, R Objects

R Objects that can be rendered in JSON or XML as part of the API payload Primitives (character, numeric, logical, date, factor) Vector Matrix Data Frame List

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R evoDeployR

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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R evoDeployR – R E S T ful A P I

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format = jsonHTTP 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



R evoDeployR – S tateles s E xample (J avaS c ript)

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var exeScript = function () { …

// set the call back configuration var callback = { success : plot, failure: fail, scope : this, verbose : true };

var rnum = Y.Revolution.RDataFactory.createNumeric('input_randomNum', num); var scriptConfig = { rscript:'DeployR - Hello World', inputs : [rnum]};

// execute RScriptY.Revolution.DeployR.repositoryScriptExecute(scriptConfig, callback);

};



R evoDeployR – S tateful E xample

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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R evoDeployR - S c alability

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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T hank you.

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www.revolutionanalytics.com 650.646.9545 Twitter: @RevolutionR

The leading commercial provider of software and support for the popular open source R statistics language.

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integrate your advanced analytics into bi apps and ms office and multiply their value

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