This presentation is about the why and the how of Big Data inititiatives ; it presents customer case studies of Big Data journeys from Sandbox to Analytics, and then to actionable and real time operations. It goes accross the 5 execution challenges: obtaining skills, sourcing the data, setting the infrastructure, governing the data and funding the projects.

1. © Talend 2014 1
Top 5 Challenges to
Overcome for Big Data
Success
Webinar | June 2014

2. © Talend 2014 2
ONLINE REPLAY
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data-success

3. © Talend 2014 3
Welcome
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4. © Talend 2014 4
Top 5 Challenges to
Overcome for Big Data
Success
Webinar | June 2014

5. © Talend 2014 5
Your presenters
Jean-Michel Franco
Director,
Product Marketing
Philip Crocker
Director,
Partner Marketing

6. © Talend 2014 6
The Talend Platform

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Meeting Customer Big Data Needs
Top Ranked Exponential Growth 500+ Customers Cloud Leaders
3X bookings Q1 ‘13 – Q1 ‘14
80% of accounts expand 3X
90% software licenses
<1% lifetime churn
>$1B in incremental revenue
generated by 1 customer
John Wallace, CEO marketing analytics company DataSong, is “Married to big data, but started dating her before she was
popular. Now she’s very popular! We moved to MapR two years ago because of the investment they made in Hadoop.
MapR is our data store for everything. It is our data processing and analytical engine, the main file system, the utility, the
hub of everything”
http://data-informed.com/datasongs-hadoop-bet paying/#sthash.AVZYD59l.WgOskAxl.dpuf

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Agenda
Big Data from Sandbox to Analytics and Real Time Business
5 challenges to Big Data success
Meet your 5 Challenges with MapR and Talend
Jump Start your Big Data journey with the MapR/Talend
Sandbox & Talend’s Readiness Scorecard
Agenda

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Driving your Big Data Journey
Sandbox Analytics Real Time Operations
Value
Break
Even
PointPlanning Stage
Project is
Justified
Real Time
Operations
Begin
Business Is
Transformed
Talend
Platform
for
Big Data

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From clickstream to customer analytics and to real time recommendations
Case study in retail
Sandbox Analytics Real Time Operations
Value
Planning Stage
From Clickstream…
…to Customer
Analytics …
…to Real-Time
Recommendations

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Operations + Analytics = Real-time,
Personalized Services
Fraud model
Recommendations
table
MapR Distribution for Hadoop
Fraud
investigator
Interactive
marketer
Online
transactions
Fraud
detection
Personalized
offers
Clickstream
analysis
Fraud investigation
tool
Real-time Operational Applications
Analytics

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Zions Bank: Fraud Detection
Cost effective security analytics and fraud detection on one platform
• Prevent Fraud: Global bank fraud costs $200B annually
• Operationalize Big Data Fraud Detection: Fraud Operations and Security Analytics team at
Zions maintains data stores, builds statistical models to detect fraud, and then uses these
models to data mine and evaluate suspicious activity
“We initially got into centralizing all of our data from an information security perspective. We then saw that we
could use this same environment to help with fraud detection”
Michael Fowkes - SVP Fraud Operations and Security Analytics, Zions Bank
• Existing technology infrastructure could not scale
• Timeliness of reports degraded over the last several years
• Chose MapR and cut storage costs by 50%
• Gained huge performance advantage – Querying time reduced from 24 hours to 30 min on
1.2 PB of data
• Leverage MapR scale for increased model accuracy and deeper insights
BUSINESS OBJECTIVES
CHALLENGES
MAPR ADVANTAGE

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… but then it is all about execution
Your business case is the prerequisite…
Source: Gartner - Survey Analysis: Big Data
Adoption in 2013 Shows Substance Behind the
Hype - 12 September 2013 - G00255160
Together,
MapR and Talend
Directly Address
these Challenges

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The Skills
Challenges
• Use existing skills
• Time to deliver
• Future proof
“Above all, this demands flexibility…
…Consider using a metadata-driven codeless development environment to
increase productivity and help insulate you from underlying technology changes“
Ralph Kimball – Newly emerging best practices for Big Data

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The
Infrastructure
Challenge
• Comprehensive platform
• Integrates existing systems
• Ready for business-critical
production applications

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The Data
Sources
Challenge
• IT generated data
• Machine generated data
• User generated and
external data
“Big data will change the time and cost equation for all data applications.
It is about reducing the need for costly upfront data preparation and data engineering,
which typically constitute 80% of the time and cost of data managemen“
Randy Bean – It may be everywhere now, but big data matters more than ever.

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The Data
Governance
Challenge
• Experiment your data
• Certify your data
• Ensure fair usage of data
and related inferences

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The Funding
Challenge
• Predictable costs
• Ready for the “information
long tail”
• Minimum resources

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MapR and Talend: your perfect guides
throughout your Big Data journey
• Reference architecture
• Talend and MapR: our joint value proposition

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FOUNDATION
ArchitectureMatters for Success
Data protection
& security
High performance
Multi-tenancy
Operational &
Analytical Workloads
Open standards
for integration
NEW APPLICATIONS SLAs TRUSTEDINFORMATION LOWERTCO

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Talend and MapR, altogether:
Reference architecture
Clickstream
Product Catalog
Server Logs
Merchant Listings
Call Detail Records
Billing Data
Mobile Data
Set-Top Box Data
Network Data
Social Media
MapR Data Platform
High Speed
Ingest
Rapid
Access &
Iteration
NFS
DATA SOURCES VISUALIZATIONPROCESSING & ANALYTICS
SQOOP
FLUME
HDFS API
HBase API
HIVE
800+
connectors
ActiveMQKaraf
CamelCXF
KafkaStorm
MetaSecurity
MDMiPaaS
GovernHA
TRANSFORMTAP DELIVER
PROFILE PARSEMAP MATCH
CHANGE
DATA C.
CLEANSE
STANDAR-
DIZE
MACHINE
LEARNING
BATCH
(Map
Reduce)
SQL
(Hive,
Drill)
STREA
MING
(Spark)
SCRIPTING
(Pig)
ML
(Mahout,
MLLib)
GRAPH
(GraphX)
SEARCH
(SolR)
ONLINE
(HBase)

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Talend and MapR: value proposition
Designed for high end
performance
Speed with Hadoop Native with Hadoop
Disruptive, but with your
existing resources
MapR NFS Connected to your systems,
Familiar to your human resources
Proven track record
and ready to go
Cloud or on premises Talend Jumpstart Sandbox
One
platform
MapReduce, file based
apps, search, SQL & NoSQL,
stream processing…
Big Data Integration, Data
Quality and MDM, application
and process integration
Enterprise-ready for your IT Transformation

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ACCELERATING YOUR BIG DATA
JOURNEY
Discover Hadoop and how it applies to your use case with the sandbox
Draw your Big Data plan and roadmap with our readiness scorecard

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Announcing the Big Data Jumpstart Sandbox
- Talend Jumpstart Sandbox - virtual image installed with:
• MapR Distribution for Apache Hadoop
• Pre-configured Talend Platform for Big Data*
• Three analysis scenarios for you to try:
– Clickstream data
– Twitter sentiment
– Apache weblogs
• Demonstrations of several NoSQL databases
https://info.talend.com/prodevaltpbdsandbox-reservemapr.html
*Includes Talend Studio (graphical IDE), team working,
management, data quality and advanced big data features.
Big Data Jumpstart
Sandbox

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Introducing the Big Data Readiness
Scorecard
Understand the capability maturity model
Define your current status and aspirational goal
Formalize your milestones
Engage your
Big Data program
• What is it?
 A way to better assess your
maturity with regards to the
top 5 execution challenges of
Big Data
 A guideline for you big data
journey
 A valuable report to present
and share your big data
plans to your peers
• How it works
 A ready to run questionnaire to assess your
maturity with regards to the top 5 execution
challenges of Big Data
 A guideline for you big data journey
 A valuable report that the client can share with
their management

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Wrap up and next steps
Draw the milestones of your Big
Data journey
Anticipate the challenges and plan
for the right resources
Leverage accelerators such as our
sandbox and readiness scorecard
Contact us and get your readiness scorecard:
talend@mapr.com or mapr@talend.com
Reserve your seat for the sandbox:
https://info.talend.com/prodevaltpbdsandbox-reservemapr.html