In this presentation from Revolution Analytics, Bill Jacobs presents: Are You Ready for Big Data Analytics? "Revolution Analytics delivers advanced analytics software at half the cost of existing solutions. By building on open source R—the world's most powerful statistics software—with innovations in big data analysis, integration and user experience, Revolution Analytics meets the demands and requirements of modern data-driven businesses." Learn more: http://www.revolutionanalytics.com Watch the presentation video: http://wp.me/p3RLEV-12S

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Are You Ready for Big
Data Big Analytics?
September, 2013
Bill Jacobs
Director, Product Marketing
Revolution Analytics
@bill_jacobs
Revolution Analytics
@RevolutionR

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Key Big Data Challenge: The Analytics
Talent Pool

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The Analytics Talent Pool with R
2 Million R Users

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What Language is Most Popular for Data
Mining and Data Science?
Survey Question:
“What programming/statistics languages you used for an analytics /
data mining / data science work in 2013?”
Results:
R – 61%
Python – 39%
SQL - 37%
How does this compare to 2012?
“Highest growth was for Pig/Hive/Hadoop-based languages, R, and
SQL, while Perl, C/C++, and Unix tools declined…”
From 2013 KDNuggets Survey of 700 voters.
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The R Language: What Is It?
 A Language Platform…
 A Procedural Language optimized for Statistics and Data Science
 A Data Visualization Framework
 Provided as Open Source
 A Community…
 2M Statistical Analysis and Machine Learning Users
 Taught in Most University Statistics Programs
 Active User Groups Across the World
 An Ecosystem
 CRAN: 4500+ Freely Available Algorithms, Test Data and
Evaluations
 Many Applicable to Big Data If Scaled
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Revolution Analytics - Overview
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We are the only provider of a commercial analytics platform based on
the open source R statistical computing language.
Power
Productivity
Enterprise
Readiness
Stable,scalable
multi-platform
world-wide support
Easier to build and deploy analytic
applications
Professional services enablement
Distributed, high performance
analytics algorithms
World Wide Support Teams
• Standard and Premium Programs
• Technical Account Managers
• Customer Success Managers
Professional Services
• Architecture planning
• Systems Integration
• Advanced analytic applications
• Full life cycle projects

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Digital Media & Retail
200+ Customer Stories
Finance & Insurance Healthcare & Life Sciences
Manufacturing & High TechAcademic & Gov’t
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Revolution R Enterprise
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Revolution R Enterprise
is the only commercial big data analytics platform
that provides Big Data Big Analytics based on R.
Portable Across Enterprise Platforms
High Performance, Scalable Analytics
Easier to Build & Deploy

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Aditional Technology Challenges
Accompanying Big Data Analytics Efforts
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Big Data
• New Data
Sources
• Data Variety &
Velocity
• Fine Grain
Control
• Data Movement,
Memory Limits
Complex
Computation
• Experimentation
• Many Small
Models
• Ensemble
Models
• Simulation
Enterprise
Readiness
• Heterogeneous
Landscape
• Write Once,
Deploy Anywhere
• Skill Shortage
• Production
Support
Production
Efficiency
• Shorter Model
Shelf Life
• Volume of
Models
• Long End-to-End
Cycle Time
• Pace of Decision
Accelerated

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Open Source R Drives Analytical Innovation
… with some limitations for enterprises
but has some limitations for Enterprise Deployment
Memory Bound
Large Data & Cluster-Based
Storage Management
Single Threaded
Scalable, multi-threaded,
parallel processing
Community Support
Commercial production
support and professional
services teams
Innovative – 5000
packages+,
exponential growth
Ability to combine
with open source R
packages where
needed
Operate on
bigger data
sizes
Increased
speed of
analysis
Holistic
production
support
A key combination
of innovation and
scale
Results
limitations

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Big Data Speed @ Scale with
Revolution R Enterprise (RRE)
Fast Math Libraries
Parallelized Algorithms
In-Database Execution
Multi-Threaded Execution
Multi-Core Processing
In-Hadoop Execution
Memory Management
Parallelized User Code
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First, we enhance and
accelerate the Open
Source R interpreter.

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Open Source R performance:
Multi-threaded Math
Open
Source R
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Revolution R
Enterprise
Computation (4-core laptop) Open Source R Revolution R Speedup
Linear Algebra1
Matrix Multiply 176 sec 9.3 sec 18x
Cholesky Factorization 25.5 sec 1.3 sec 19x
Linear Discriminant Analysis 189 sec 74 sec 3x
General R Benchmarks2
R Benchmarks (Matrix Functions) 22 sec 3.5 sec 5x
R Benchmarks (Program Control) 5.6 sec 5.4 sec Not appreciable
1. http://www.revolutionanalytics.com/why-revolution-r/benchmarks.php
2. http://r.research.att.com/benchmarks/
Customers report 5-50x
performance improvements
compared to Open Source R —
without changing any code

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Big Data Speed @ Scale with
Revolution R Enterprise (RRE)
Fast Math Libraries
Parallelized Algorithms
In-Database Execution
Multi-Threaded Execution
Multi-Core Processing
In-Hadoop Execution
Memory Management
Parallelized User Code
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Second, we built a
platform for hosting R
with Big Data on a
variety of massively
parallel platforms.

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Unparalleled Big Data Big Analytics
Scale, Performance & Innovation
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1 + 1 = 1000’s
Performance
V
a
l
u
e
Revolution R Enterprise
+ =
Performance
Enhanced R
R Language
Open Source
R Analytic
Packages
Big Data
Distributed &
Parallel
Processing
&
Analytic Package
Big Data
Distributed &
Parallel
Processing
&
Analytic Package
Open Source
R Analytic
Packages
Performance Enhanced R

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Analytic Personas and their Tools
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Analytic
Consumer
Business
Analyst
Power
Analyst
Data
Scientist
Information
Technologist
Right Tool, Right Problem

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On-demand sales
forecasting
Real-time social
media sentiment
analysis
Create Custom, On-Demand Analytical Apps
Some Examples:
Leveraging the
power of R from
Microsoft tools
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Predicting Predictive Analytics
 What Are Your Use Cases?
 How Will Your Use Cases Evolve?
 What Platform Will Best Support Each?
 Who’s Platform Excel Tomorrow?
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?

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Portability and Investment Assurance:
Write Once – Deploy Anywhere
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Servers
Server Clusters
EDWs and Analytical DBMSs
Hadoop (coming soon!)
Write it Once.
Deploy it Anywhere
Workstations

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Summary.
 R is Hot.
 Revolution R Enterprise:
 Scales R to Big Data.
 Scales Performance on Big Data Platforms
 Is Commercially Supported
 Is Broadly Deployable
 Allows you to WODA!
 Revolution Analytics Maximizes Results, While
Minimizing Near-Term and Long-Term Risks
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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.
Next steps?

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Thank You.