Nava levy big data for cc adapt or die - march 29th 2012 final
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Transcript of Nava levy big data for cc adapt or die - march 29th 2012 final
© 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