© 2012 – PROPRIETARY AND CONFIDENTIAL INFORMATION OF CVIDYA

When Cloud Meets Big Datas

The drivers and use cases of big data analytics in the cloud

Nava Levy, VP SaaS/Cloud Services

March 29, 2012

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Big Data as a Must Have Competency

“Big Data will earn its place as the next "must have" competency in 2012 as the volume of digital content grows to 2.7 zettabytes (ZB), up 48% from 2011. Over 90% of this information will be unstructured – full of rich information, but challenging to understand and analyze”

Source: IDC, December, 2011

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cVidya overview

What is Big Data and what’s the hype is all about?

The Drivers for Big Data

Opportunities and use cases

Summary

Outline

cVidya Overview

A global leader and innovative provider of Analytics and BI solutions for Revenue Intelligence for Telecom, Media and Entertainment service providers

#1 Revenue Management Global Market

Provider by (April 2011)

TM Forum Leadership

cVidyaCloud : Revenue Intelligence On

Demand for Service Providers of all sizes

Analyzing over 1.5 Billion subscribers and

billions of events daily

300 employees

Global presence in 20 locations

Over 150 customers

– 7 out of the 10 largest operators

Partnership with the world leading vendors

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“Cloud and Big Data are the most

sweeping trends in IT”

EMC CEO, March, 2011

The VC behind

Facebook, Groupon, is

creating $100M fund

dedicated to Big Data.

Aster Data helps Teradata embrace

Big Data Ovum, October 2011

Big data: The next frontier

for innovation, competition,

and productivity

Microsoft Embraces

Elephant of Open Source

Hadoop, ditching its

proprietary platform

Wired, November , 2011

IBM Cloud Harnesses

Hadoop Elephant

Wired, October 2011

Big Data will earn its place as the

next "must have" competency in

2012 ….Over 90% of this

information will be unstructured –

full of rich information, but

challenging to understand and

analyze” IDC: December, 2011

Gartner predicts that data will grow by 800 percent in five years, and 80% of

which is unstructured|

Gartner, 2011

Oracle Taps Cloudera for Hadoop

Distribution of Big Data Appliance

TechCrunch, January, 2012

Gigaom, November, 2011

Hadoop-based startup

Cloudera raises $40M

from Ignition Partners,

Accel, Greylock

Deals & More: November 2011

HP yokes Autonomy, Vertica together for

big data push

Apache Hadoop awarded

"Innovator of the Year“, described as the

"Swiss Army Knife of the 21st century

The guardian, May, 2011

Mckinsey Global Institute: June, 2011

Forbes, November, 2011

Big Data in the Headlines

“Storing, managing and analyzing massive and ever growing sets

of data, mostly unstructured or semi structured, over clusters of

commodity hardware, using NoSQL /non RDBMS technologies as

Hadoop and Cassandra. The challenges and opportunities that it

presents.”

What is Big Data?

“Big Data is becoming a metaphor for:

- Increasing volume of information

- Finding information in previously ignored or new

data types

- Hadoop, MapReduce”

Gartner, June 2011

Why? Tsunami - 4 Waves at Once!

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Cloud

Social

Mobile

Big Data

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Explosive Growth of Data - Mostly Unstructured

Stuctured 20%

Unstructured 80%

Data will grow by 800 percent in five years, 80% of which is unstructured

Gartner, 2011

Explosive Growth of Unstructured Data

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Transaction data

=structured data

= relational data

Interaction data =

unstructured or

semi structure data

Source: IDC

The Big Data Paradox

Technology: Traditional RDBMS were not designed to address

big data

– RDBMS comply with ACID properties that were developed

in the 70s… are not as relevant to big data

– In addition, low value density of Big Data needs a new

approach

People: According to Mckinsey report, US alone faces shortage

of over 1.5M people in the analysts & science domains

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Data volumes growing faster than people skills, disk, plant and power

12 Source: Informatica

“Swiss Army Knife of the 21st century”

What is Hadoop?

Hadoop is a collection of open-source, distributed data-processing

components for storing and managing large volumes of

structured, unstructured, or semi structured data. It enables

applications to work with thousands of nodes and petabytes of

data. Hadoop runs on low-cost commodity hardware, and it scales

up into the petabyte range at a fraction of the cost of commercial

storage and data-processing alternatives.

Big Data & Cloud

Big Data is a private use case for Cloud

It was produced by cloud providers

The early adopters of Big Data are cloud

providers

Available by most IaaS & PaaS providers

The vast majority of its implementations

are in the cloud

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Big Data is Cloud

SaaS Software/ Application

PaaS Platform/ Middleware

IaaS Infrastructure/Hardware

Big Data / Analytics Applications

Open Source Platforms as Hadoop MapReduce,

Cassandra

Low cost commodity hardware

Opportunities & Use Cases

Start-ups

Established

Software Vendors B2C & B2B Enterprises

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Startups

Big Data wave is disrupting traditional IT

Opportunities exist cross every layer of the “Big

Data Stack”

In the application layer we can divide companies

into 2 categories

– When Business Model = Value Proposition = Big Data (BI

& analytics apps, Data visualization)

– When only the business model equals to Big Data but

what drives customers to buy is different

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“$100M dedicated to fund

entrepreneurs globally in building

disruptive, Big Data companies”

Established Software Vendors

Big Data platforms such as Hadoop are

becoming mainstream as established infra

vendors are embracing Big Data

Now is the time also for software vendors to

adapt their applications to Big Data

Adapt in terms of taking advantage of NoSQL

platforms and cloud infra, integrating with new

data sources and adding features taking

advantage of big data

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The biggest opportunity will rise from linking new data with transactional data

Source: Accel

B2C & B2B Enterprises & Specific Verticals – Acting on New Business/Internal and Public Data

17 Source: Gartner, 2011

Example for Use Cases

Sentiment analysis

Recommendation engines

Consumer behavior

Personal sensors monitoring

Website behavior

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A Pattern-Based Strategy provides a

framework to proactively seek patterns

from traditional and non-traditional

information sources, model their impact,

and adapt according to the requirements of

the pattern.

B2C & B2B Enterprises & Specific Verticals – Acting on New Business and Public Data

Summary

Data is exploding, with new data types that are breaking legacy data platforms

Big Data platforms such as Hadoop are becoming mainstream

Opens opportunities for startups, established ISVs and B2B / B2C enterprises to capitalize

The time to act is now!

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THANK YOU! www.cvidya.com