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Copyright © 2010 SAS Institute Inc. All rights reserved. Copyright © 2010, SAS Institute Inc. All rights reserved.
BCS (NLB) Big Data seminar “Big Data” John Morton, Chief Technology Officer SAS Institute 23rd November 2011
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Copyright © 2010, SAS Institute Inc. All rights reserved.
Who is SAS: The Leader in Enterprise Analytics Software
Customer Partnerships: • 4.5 million users worldwide • 50,000+ sites in 114 countries • 92 of the Top 100 Fortune Global 500 • 9 of 10 Leading Media Agencies
• Over 1,000 Universities • Over 90% of US Federal Agencies • All 50 US State Governments
Services 11%
Financial Services 42%
Retail 4% Other
2%
Manufacturing 6%
Healthcare & Life Sciences
8%
Government 14% Energy & Utilities
2%
Education 3%
Communications 8%
Anticipate Opportunity, Empower Action, Drive Impact Basic company statistics: • Founded 1976: 11,000+ employees in 400+ offices • 600+ global alliances • 2010 worldwide revenue $2.43 B • 24% of revenues reinvested in R&D • Ranked in Leader’s Quadrant for Gartner’s 3 key areas for
Analytics: Data Intelligence, Analytics and Reporting • IDC: SAS is leader in Analytics with a 34.5% market share
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Copyright © 2010, SAS Institute Inc. All rights reserved.
What is Big Data?
In 2011 (Gartner) this now includes – Complexity!!
May 2011 McKinseys Report “Big Data : The next frontier for Innovation, Competition and Productivity” stated : US healthcare reduction by $300 B a year 2/3rds from a 8% reduction in
national healthcare Retailers can increase operating margin by 60% by fully utilising data Euro 100 B reduction in Government administration across Europe
Big data is a term applied to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process the data within a tolerable elapsed time. Big data sizes are a constantly moving target currently ranging from a few dozen terabytes to many petabytes of data in a single data set. (Wikipedia)
In a 2001 (Gartner), defined data growth challenges (and opportunities) as being three-dimensional, increasing volume (amount of data), velocity (speed of data in/out), and variety (range of data types, sources).
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Copyright © 2010, SAS Institute Inc. All rights reserved.
Big Data
Big data definition
Big data is the ability to extract value from huge data sets by employing big data analytics to make better and faster decisions
based not only on what has happened, but what will happen next. By identifying patterns, trends and insights from big data, organisations
will drive greater innovation, competitiveness and productivity.
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What Does it Mean? - People
Future You and technology
Customers/Citizens
Pace of Technology
10-14 jobs between age of 21 and 38
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Technology Shift
Dot com boom
£30 Terabyte disks
£2000 fault tolerant, supercomputers
Store everything file systems
Visualisation of data - Gamefication
In-Database processing
Massively-parallel processing (MPP) analytics
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Data Intensive Workloads - Usage Driven Technologies
Video Information Search
Predictive
Analytics
What-if
Analysis
Ad Hoc
Queries
Pre-defined
Queries
Info
rmat
ion
Inte
grat
ion
2006 2008 2010
Usage Sophistication
0%
100%
20%
13%
25%
Search &
Semantic
Analysis
TopQuadrant, Forester,
Intel IT study, Gartner
High Performance Analytics
• A weeks worth of the information in the Times equals a lifetimes worth of information in 1800
• Video content growing at an astonishing pace
• 40 Exabytes of data created this year….
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What Does it Mean? - Processes
3.0
Collaboration
Business Clock
Managing Data
Linked Data
Grey computing
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Decision Making
“It would appear, Hopkins, that your gut feel was only indigestion.”
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What Does it Mean? - Systems
Role of IT?
Context Aware
Relationships
The Burton Group
Today New Threats (e.g., IM, Rootkit)
Perimeter Ambiguity
Virtualization
Client Diversity
Digital Rights Management
End-point Performance and
Technology
VM VM VM VM VM VM VM VM VM VM VM VM
Tomorrow
Boundaries are changing
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Creating the illusion of simplicity
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Open Data and Transparency
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The real value is in the links!
Linked data – Shareable, understood, unified in format and access to data http://dbpedia.org
Copyright © 2010 SAS Institute Inc. All rights reserved.
