© Talend 2014 1

Top 5 Challenges to

Overcome for Big Data

Success

Webinar | June 2014

© Talend 2014 2

ONLINE REPLAY

http://www.talend.com/resources/webinars/overcome-the-top-5-challenges-to-big-

data-success

© Talend 2014 3

Welcome

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© Talend 2014 4

Top 5 Challenges to

Overcome for Big Data

Success

Webinar | June 2014

© Talend 2014 5

Your presenters

Jean-Michel Franco Director, Product Marketing

Philip Crocker Director, Partner Marketing

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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 Point Planning 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

Architecture Matters for Success

Data protection & security

High performance

Multi-tenancy

Operational & Analytical Workloads

Open standards for integration

NEW APPLICATIONS SLAs TRUSTED INFORMATION LOWER TCO

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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 VISUALIZATION PROCESSING & ANALYTICS

SQOOP

FLUME

HDFS API

HBase API

HIVE

800+ connectors

TAP

(I

nge

stio

n)

ActiveMQ Karaf

Camel CXF

Kafka Storm

Meta Security

MDM iPaaS

Govern HA

TRANSFORM TAP DELIVER

PROFILE PARSE MAP 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