enterprise cloud forum: turning big data into big dollars
TRANSCRIPT
Enterprise Cloud Forum:
“Turning Big Data into Big Dollars”
Presented By:
Rackspace Advisory Services
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Your Hosts
2
Brian Jawalka
Enterprise Solutions Architect,
Cloud Strategy
Rackspace Advisory Services
Anand Bhadouria
Enterprise Solutions Architect,
Cloud Strategy
Rackspace Advisory Services
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What We Will Cover Today
Importance of Big Data to the Enterprise
Definition of Big Data
Big Data Skill Requirements/Gaps
Big Data Technologies & Implementation
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Big Data Importance & Benefits
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Better Productivity
Higher Revenues
Better Decision-Making
Innovative Products, Services & Business Models
“The NEW raw material of business: an economic
input on par with capital and labor.”
- The Economist
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If a median Fortune 1000 business increased the usability of its data by only
10%, it would earn an
extra $55,900 per employee or
$2+ billion a year in
added revenue. 6
“Measuring the Business Impacts of Effective Data, chapter 1,” University of Texas, September 2010, p3
BIG DATA
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Industries most affected by Big Data
Computers & Electronics
Entertainment & Media
Finance
Healthcare
Information Services
Insurance
Retail
All levels of Government
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Massive amounts of data with opportunities for:
Mining for insights
Repackaging with new business models
EVERY Enterprise will benefit in:
Marketing
Product Development
Customer Service
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Importance of Big Data to Major Retailers
Transaction Data Drives Purchase Behavior
• Online search engine refinement
• Tailored offers aligning to consumer activity
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“… create a click frenzy.”
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Big Data is changing the Healthcare Industry
Healthcare
Analyzing Patient Datasets to
find patterns…
Helping Doctors Save Lives.
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10% more efficient usage of data pays off
$200 Billion SAVINGS per year!1
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Healthcare
Increase margins by 60%!1
Source: James Manyika et al, “Big Data: The next frontier for innovation,
competition, and productivity,” McKinsey Global Institute, May 2011, pp64, p39
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Importance of Big Data to Operations
Customer Data Logistics Data Manufacturing Data
Enhanced Plant
Operations
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What is “Big Data”
• E-mail & user-generated content
• Social media, B2B Transactions
• Mobile & GPS- equipped phones
• System logs
• RFID tag sensors
VOLUME
VELOCITY VARIETY
BIG DATA
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How we measure Big Data Today….
Term Size Example of Capacity
Gigabyte (GB) 1,000,000,000
one billion bytes
1 GB = 2 hours of CD-quality audio or 7
minutes of HDTV
Terabyte (TB) 1,000,000,000,000
one trillion bytes
1 TB = 2,000 hours of CD-quality audio, or
almost 5 days of HDTV
Petabyte (PB) 1,000,000,000,000,000
one quadrillion bytes
1 PB = 7 weeks of HDTV,
or 1.5 million 64 GB iPods full
Exabyte (EB) 1,000,000,000,000,000,000
one quintillion bytes
1 EB = 16 months of HDTV,
or 15 million 64 GB iPods full
Sources: Rackspace, SKATelescope.org, whatsabyte.com
Table 1: Terms Used for Big Data Storage Capacity
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Exponential Growth
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
A Decade of Digital Universe Growth
2005 2010 2015
130
1227
7910
Source: IDC/EMC Digital Universe Infographic, 2011
EXABYTES
So what do you
do with all of
this data? 544%
growth
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The Data Scientist “The Sexiest Job of the 21
st Century”
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Skill set:
Data Acquisition
Analysis
Visualization
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Delivering key customer insights from Big Data:
Who are our customers?
Why do they buy from us?
How can we get greater share of wallet?
How can we increase purchase frequency?
Source: Thomas H. Davenport and D. J. Patil, “Data Scientist: The Sexiest
Job of the 21st Century,” Harvard Business Review, October 2012
“A hybrid of Hacker, Analyst, Communicator
& Trusted Advisor”1
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0
1000
2000
3000
4000
5000
6000
7000
8000
9000 A Decade of Digital Universe Growth
2005 2010 2015
130
1227
7910
Source: IDC/EMC Digital Universe Infographic, 2011
EXABYTES
544%
growth
4.4 M needed
1.4 Million
Jobs Filled
Competition for the Data Scientist is FIERCE
3 Million short by 2015
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How Big Data Works
Unstructured Structured
Data Scientist Engineer/DBA
• Aggregation
• Archive
• Data Transformation
• Ad-Hoc
• Transaction of Record
HADOOP/
BIG DATA SQL
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Big Data Challenges
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Thomas Davenport, Paul Barth and Randy Bean, “How ‘Big Data’ is
Different,” MIT Sloan Management Review, 30 July 2012
Mismatch with existing
infrastructure
Higher capital expenses
(CAPEX)
Higher costs for non-
strategic resources
Vendor lock-in that
limits choices
Existing technology won’t scale for Big Data
Mandatory rethinking of architecture to avoid
heavy compute & storage investment
Additional resources to ‘maintain’ hardware
storage & compute assets
• Limiting any future options for updating or
switching suppliers
• Even more threatening with the mass of Big Data
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Big Data + Cloud
Source: MIT Sloan: Ibid, Davenport, Barth, and Bean
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“Cloud computing is well-suited to Big Data, since the cloud
matches the need for cost-effective mass storage,
elastic expandability, and pay-as-you-go pricing.”
-MIT Sloan
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OPEN TECHNOLOGY AT WEBSCALE
Where to
deploy
How to
deploy
What features
to deploy
The Power of Open Cloud for Business
• Deploy anywhere, with
anybody
• Hosted or on-premise
• Provider of your choice
• Rapid innovation through
an active, growing
ecosystem
• Freedom to alter source
code for customization
• Use only features you
need
• Run it on any
hardware platform
• Public or Private
cloud
• Move workloads
across different OS
clouds
• OpenStack is Free
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ONE CLOUD SOLUTION DOES NOT FIT ALL
Rackspace Provides Fanatical Support®
CUSTOMER SITE
DEDICATED, VIRTUALIZED
PUBLIC CLOUD PRIVATE CLOUD PRIVATE CLOUD
RACKSPACE
Dedicated / Virtualized:
• Highly Customizable
• Compliance Requirements
• Consistent Performance
Hosted Cloud:
• Highly Scalable
• Utility Consumption
• On Demand
Private Cloud:
• Highest Level Control
• Leverage Existing
Assets
Broad Portfolio + Fanatical Support = Optimized Solution
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What Covered Today
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Importance of Big Data to the Enterprise
Definition of Big Data
Big Data Skill Requirements/Gaps
Big Data Technologies & Implementation
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Cloud Application Transformation Framework Creating Your Seamless Journey to the Cloud
On-Going Optimization
31
IT Evolution
Workshop
Application
Profiling
Exercise
Cloud
Readiness
Assessment
Solution
Engineering
Engagement
Migration
Execution
Environment
Realization
Plan/Build/Deploy Assess Strategize
Customer
Data Center
Taking Enterprises from… “Cloud HOW?” “Cloud NOW”
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Get SMART on Cloud
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Rackspace Advisory Services:
Phone: 1-800-440-1249
Email : [email protected]
Website: rackspace.com/Advisory Services
“Our goal is to create the most
CLOUD SAVVY customers in the industry”
Recommended Rackspace Resources: • Cloud: Vision to Reality whitepaper (right side of page)
• Cloud: Economics whitepaper (right side of page)
• Take the Cloud Readiness Self Assessment
• Use cases:
– Hybrid Hosting: Dominos Pizza and watch the video
– RackConnect™: VEVO and watch the video
– Private Cloud: Lighthouse1
Recommended Industry Resources:
• The Big Switch, Nicholas Carr
• Cloudonomics: The Business Value of Cloud Computing, Joe Weinman
• www.Cloudability.com
• http://gigaom.com/
• www.gartner.com
• www.forrester.com
• www.idc.com
Rackspace Knowledge Center
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THANK YOU Rackspace Advisory Services
Phone: 1-800-440-1249
Email : [email protected]
Website: rackspace.com/Advisory Services