Many organizations have invested in big data technologies such as Hadoop and Spark. But these investments only address how to gain deeper insights from more diverse data. They do not address how to create action from those insights. Forrester has identified an emerging class of software—insight platforms—that combine data, analytics, and insight execution to drive action using a big data fabric. In this presentation, our guest, Forrester Research VP and Principal Analyst, Brian Hopkins, will: o Present Forrester's recent research on insight platforms and big data fabrics. o Provide strategies for getting more value from your big data investments. MapR will share: o Examples of leading companies and best practices for creating modern applications. o How to combine analytics and operations to accelerate digital transformation and create competitive advantage.

1. © 2016 MapR Technologies© 2016 MapR Technologies
Insight Platforms Accelerate Digital Transformation

2. © 2016 MapR Technologies
Today’s Presenters
Jack Norris
SVP – Data Applications
@Norrisjack
Brian Hopkins
VP, Principal Analyst
@practicingEA

3. Insight Platforms Accelerate Digital
Transformation
Brian Hopkins, Vice President, Principal Analyst

4. © 2016 Forrester Research, Inc. Reproduction Prohibited 4
Source: Forrester’s “Big Data Fabrics Drive Innovation And Growth” report
Messy, large
datasets are
still a problem

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Firms are building data science platforms
Web UI – insights on demand
Insights fabric server (Domino Server)
Docker to isolate and manage jobs and code
Python script library becomes their ETL on demand
MongoDBHadoop SQL Server MySQL
External reporting tools (e.g., Tableau)
Source: ”Transform Your Customer Experience With Systems Of Insight” Forrester report
Data Sources

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Firms are building data science platforms
Web UI – insights on demand
Insights fabric server (Domino Server)
Docker to isolate and manage jobs and code
Python script library becomes their ETL on demand
MongoDBHadoop SQL Server MySQL
External reporting tools (e.g., Tableau)
Data scientists
Engineers
Firmware team
Pipe-line
Data
Engineers
Insights team manages insights-to execution
Source: ”Transform Your Customer Experience With Systems Of Insight” Forrester report
Data Sources

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Firms are building data science platforms
Web UI – insights on demand
Insights fabric server (Domino Server)
Docker to isolate and manage jobs and code
Python script library becomes their ETL on demand
MongoDBHadoop SQL Server MySQL
External reporting tools (e.g., Tableau)
Data scientists
Engineers
Firmware team
Pipe-line
Data
Engineers
Insights team manages insights-to execution
Source: ”Transform Your Customer Experience With Systems Of Insight” Forrester report
Change driving
experience
Data Sources

8. © 2016 Forrester Research, Inc. Reproduction Prohibited 8
Firms are building data science platforms
Web UI – insights on demand
Insights fabric server (Domino Server)
Docker to isolate and manage jobs and code
Python script library becomes their ETL on demand
MongoDBHadoop SQL Server MySQL
External reporting tools (e.g., Tableau)
Data scientists
Engineers
Firmware team
Pipe-line
Data
Engineers
Insights team manages insights-to execution
Source: ”Transform Your Customer Experience With Systems Of Insight” Forrester report
Change driving
experience
Data Sources

9. 9© 2016 Forrester Research, Inc. Reproduction Prohibited
The business discipline and
technology to harness insights and
consistently turn data into action
But we call what they do a “system of insight”

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A system of insight is an operating model:
people, process, & technology working together
Source: April 27, 2015, “Digital Insights Are The New Currency Of Business” Forrester report
All Data Possible
Actions
Digital insights
architecture
Right
data
Effective
actions

11. 11© 2016 Forrester Research, Inc. Reproduction Prohibited
A system of insight is an operating model:
people, process, & technology working together
Source: April 27, 2015, “Digital Insights Are The New Currency Of Business” Forrester report
All Data Possible
ActionsInsights-to-execution
process
Insights team
Digital insights
architecture
Right
data
Effective
actions

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Systems of insight should run on
a platform built for big data
Source: “Insight Platforms Accelerate Digital Transformation” Forrester report.

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Insight platforms unify the
technologies to manage and
analyze data, test and integrate the
derived insights into business
action, and capture feedback for
continuous improvement.
Insight platforms fit that need
Source: “Insight Platforms Accelerate Digital Transformation” Forrester report.

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Insight platforms have struck a chord with architects
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
How Firms Are Tracking And Investing In
Emerging Technology
Our firm is starting to invest We are researching and selecting
We are tracking how it evolves No interest today

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Source: Forrester’s “Vendor Landscape: Insight Platforms, Q3 2016 report
Vendors offer insight platforms already

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Source: Insight Platform Vendor Landscape, Q3 2016
Five classes of insights platforms

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Insight platforms unify the
technologies to manage and
analyze data, test and integrate the
derived insights into business
action, and capture feedback for
continuous improvement.
Big Data Fabrics provide a foundation for
insight platforms
Source: “Insight Platforms Accelerate Digital Transformation” Forrester report.

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What a big data fabric looks like

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Big data fabrics are turning data science tools
into insight platforms
• Data exploration and prep
• Collaboration
• Model development, tuning, management
• Model execution
Predictive
Analytics
• EDW
• Cloud
• SaaS
• RDBMA
Data
Sources

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Big data fabrics are turning data science tools
into insight platforms
• Data exploration and prep
• Collaboration
• Model development, tuning, management
• Model execution
Predictive
Analytics
• Data ingestion
• Data operations
• Data exploration
• Security, governance, metadata
Big Data
Fabric
• EDW
• Cloud
• SaaS
• RDBMA
Data
Sources

22. 22© 2016 Forrester Research, Inc. Reproduction Prohibited
Why is this important? Because your
scope is much broader now.

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How vendors are approaching big data fabrics
Fabrics
Converged
Federated
As-a-service
Components run on a converged
infrastructure in an integrated way
Components run on different
infrastructures, connected by
orchestration components
(e.g microservices)
Componentry is abstracted from
functionality which is exposed as a
platform
 Simplicity
 Organizational
flexibility
 Solution
agility

24. 24© 2016 Forrester Research, Inc. Reproduction Prohibited
Build towards an information fabric
Predictive
Analytics
Big Data Fabric  Information Fabric
Data Sources
Customer
Analytics
Business
Analytics

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Connect
platforms
through
your fabric
Source: “Insight Platforms Accelerate Digital
Transformation” Forrester report

26. Thank you
forrester.com
Brian Hopkins
bhopkins@forrester.com
Twitter: @practicingea

27. © 2016 MapR Technologies 27© 2016 MapR Technologies 27© 2016 MapR Technologies
The Key to Digital Transformation
Jack Norris, SVP Data & Applications

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A Once-in-30-Year Re-Platforming of the Enterprise
• Critical infrastructure for next-gen applications
• Data platform enabler for required Speed, Scale, & Reliability
New Applications Existing Applications
Open Source Analytic Innovations Legacy
Disruptive Data Platform
On Premise Private Cloud Public Cloud
Heterogeneous Hardware

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Legacy Business Platforms Are Two Islands
• IT must integrate all the products
• Inability to operationalize the insight rapidly
• Can’t deal with high speed data ingestion and processing
• Scale up architecture leads to high cost
Message
Bus
Specialized Storage
Operational Applications
J2EE
AppServer
Relational
Database
Specialized Storage
Analytical Applications
Analytic Database ETL Tool BI Tool

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The Secret is to Bring Analytics & Operations Together
Converged Applications
Complete Access to Real-time and
Historical Data in One Platform
Historical Immediate

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$
$
$

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Data Warehouse Offload: Cost per Terabyte Comparisons
Augmenting legacy
infrastructure can save over
$1.5K or 79% in annual op ex
per TB and slash the cap ex
per TB by $4.8K or 95%
Legacy: Typical net Exadata
pricing with rack, storage
server, and DB bundle
software
 Assumes 100% use of available
storage
$0.00
$0.25
$0.50
$0.75
$1.00
$1.25
$1.50
$1.75
$2.00
Legacy MapR
Annual Op Ex per TB ($000)
Hardware HW Maintenance Licenses License Support MapR Technology
$0.00
$0.65
$1.30
$1.95
$2.60
$3.25
$3.90
$4.55
$5.20
Legacy MapR
Cap Ex per TB ($000)

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$
$
$

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Largest Biometric Database in the World
PEOPLE

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Driving Business Value
$19.4 Million
Per interviewed organization, average
discounted benefits over three years

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Scale, Speed, Reliability Tradeoffs
• Many different security models
• Unique administration model
• Expensive
• Time consuming with latencies
• Data availability, protection issues
The Growing Complexity of Big Data Environments
Search
server
Hadoop &
Spark
cluster
Cassandra for
event or content
logging
Document
JSON DB
Classic data
warehouse
Message
middlewa
re
Application
server

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Complexity vs. Converged Simplicity
Simultaneous Scale,
Speed and Reliability
• Vast scale - Trillions of files
• Self healing resiliency
• Low latency architecture
• Global, cross-datacenter failover
Transformational Apps
Data
Web-Scale Storage
MapR-FS MapR-DB
Real Time Unified Security Multi-tenancy Disaster Recovery Global NamespaceHigh Availability
MapR Streams
Event StreamingDatabase
Enterprise Grade Platform

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Data Platform Requirements
Integrated Analytics
Enterprise Grade
Scale
Legacy Support
Transformational
Applications
Real Time

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Comparing Data Platforms
S T O R A G E
D A T A

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H A D O O P
Comparing Data Platforms
D T A
C O M P U T E
D A T A

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Comparing Data Platforms
C O M P U T E
S P A R K

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Comparing Data Platforms
C A S S A N D R A
D T A
C O M P U T E
D A T A

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Comparing Data Platforms
C O M P U T E
D T AD A T A
Write In:
–– –– –– –
O T H E R

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C O N V E R G E D D A T A P L A T F O R M
Comparing Data Platforms
Data in MotionData at Rest
C O M P U T E
D T AD A T A

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Yield Management Optimization
Global
Semi-conductor
Company

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Managing Risk/FraudAmerican Express
Fraud protection on $1 trillion
Decisions made in less than 2 milliseconds

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Big Data is Generated One Event at a Time
“time” : “6:01.103”,
“event” : “RETWEET”,
“location” :
“lat” : 40.712784,
“lon” : -74.005941
“time: “5:04.120”,
“severity” : “CRITICAL”,
“msg” : “Service down”
“card_num” : 1234,
“merchant” : ”Apple”,
“amount” : 50

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Event-based Data Flows
web events
etc…
machine sensors
Biometrics
Mobile events

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Streams Enable Real-Time Applications
Failure
Alerts Real-time
application &
network
monitoring
Trending
now
Web
Personalized
Offers
Real-time Fraud Detection
Ad optimization
Supply Chain
Optimization

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Streams Enable Event-based Microservices
Clicks Sessions Conversions
Sessionizer Converted?

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Microservices Overview
• Microservices is an approach to application
development in which a large application is built
as a suite of modular services.
• Each module supports a specific business goal
and uses a simple, well-defined interface to
communicate with other modules.

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Event-Driven Microservices
Microservices combined with Streams
and a Converged Platform provides:
• Application development across file, database,
document and streaming services
• Ultra scale, utility grade performance
• Greater efficiency and simplicity than alternative
architectures
• Integrated data-in-motion and data-at-rest and
continuous and low latency processing

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Microservices Architecture
Message Broker
Processing
Platform
Processing
Platform
Streaming Data
Platform

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Converged Microservices Architecture
MapR Converged Data Platform
Converged
Message and
Processing
Services

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Converged Platform Appeal for Developers: Agility
Flexibility
Agility
Simplicity
Real Time

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Appeal for Architects and Administrators
• Simplifies administration
• Avoids cluster sprawl
• Unifies security, data protection, disaster recovery

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Existing Environments – Complex Silos

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A P P
D A T A
D A T A
A P P
A P P
A P P
D A T A
Road to Digital Transformation

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The Keys to Digital Transformation
1. Data Convergence
2. Stream Processing
3. Application Agility

67. © 2016 MapR Technologies
Q&AEngage with us!
Forrester Whitepaper:
Insight Platforms Accelerating Digital
Transformation
http://mapr.com/digital-transformation
eBook: Architects Guide to
Implementing a Digital Transformation
https://www.mapr.com/architect-guide-to-digital-transformation