Transcript IBM Big Data Platform

Converting Big Data into Big Knowledge
© 2012 IBM Corporation
Information from Every Entity – Machine
640 Terabytes
1 Billion Lines of Code
EACH30
engine
generates
10 TB/30 minutes
billion
RFID tags
280 flights
every day
(1.3B
in 2005)
11BMW
on British
Airways alone
7 series
Intelligent Tractors
1 Terabyte of Trade
information
Captured every day by the
New York Stock Exchange
200 million smart
meters by 2014
Yearly Reading
120M Readings a Month
3.65B Readings a Day
350B Transactions/Year
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© 2012 IBM Corporation
Information from Every Entity – Man
12+ Terabytes
of tweet data every day
4.6 billion Camera
phones world wide
Geospatial tagging
Location based advertising
Location based monitoring
25+ Terabytes
log data every day
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© 2012 IBM Corporation
Big Data enabled doctors from University of Ontario to apply neonatal infant
monitoring to predict infection in ICU 24 hours in advance
IBM Data Baby
youtube.com
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Analyzing 1000 pieces of unique medical diagnostic information / second and stored in a
IBM Corporation
dynamic model. Perspective: 20% drop in mortality of control group ©in2012
trials
Why Didn’t We Use All of the Big Data Before?
“IBM had experts within data mining, Big Data, and Apache Hadoop and it
was clear to use from the beginning we wanted to improve our business, not
only today, but also prepare for the challenges we will face in three to five
years, we had to go with IBM.”
– Lars Christian Christensen VP Plant Siting & Forecasting
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© 2012 IBM Corporation
IBM Big Data Platform is your Big Data Knowledge Factory
Analytic Knowledge Accelerators
Your Current Analytic Applications
BI / Reporting Exploration /
Visualization
Functional
App
Industry
App
Predictive
Analytics
Content
Analytics
IBM Big Data Platform
Visualization
& Discovery
Application
Development
Systems
Management
Stream
Computing
• Statistical & Predictive Analytics
• Entity Integration Analytics
Enterprise Robustness
• Visualization & Application Tools
Accelerators
Hadoop
System
• Text Analytics, Sentiment Analytics
Data Warehouse
• Cluster and Workload Management
• Security & Governance
Integration
Information Integration & Governance
• With current sources
• With new Big Data sources
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© 2012 IBM Corporation
IBM Big Data Strategy: Move the Analytics Closer to the Data
New analytic applications drive the
requirements for a big data platform
• Integrate and manage the full
variety, velocity and volume of data
• Apply advanced analytics to
information in its native form
Analytic Applications
BI /
Exploration / Functional Industry Predictive Content
BI /
Reporting Visualization
App
App
Analytics Analytics
Reporting
IBM Big Data Platform
Visualization
& Discovery
• Visualize all available data for adhoc analysis
• Development environment for
building new analytic applications
Application
Development
Systems
Management
Accelerators
Hadoop
System
Stream
Computing
Data
Warehouse
• Workload optimization and
scheduling
• Security and Governance
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Information Integration & Governance
© 2012 IBM Corporation
www.bigdatauniversity.com
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© 2012 IBM Corporation