Converting Big Data into Big Knowledge
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Transcript of Converting Big Data into Big Knowledge
© 2012 IBM Corporation
Converting Big Data into Big Knowledge
© 2012 IBM Corporation2
Information from Every Entity – Machine
30 billion RFID tags (1.3B in 2005)
BMW 7 series Intelligent Tractors
200 million smart meters by 2014 Yearly Reading
120M Readings a Month3.65B Readings a Day350B Transactions/Year
1 Terabyte of Trade information
Captured every day by the New York Stock Exchange
640 Terabytes1 Billion Lines of Code
EACH engine generates 10 TB/30 minutes280 flights every day
11 on British Airways alone
© 2012 IBM Corporation3
Information from Every Entity – Man
12+ Terabytes of tweet data every day
25+ Terabyteslog data every day
4.6 billion Camera phones world wideGeospatial tagging
Location based advertisingLocation based monitoring
© 2012 IBM Corporation4
IBM Data Babyyoutube.com
Big Data enabled doctors from University of Ontario to apply neonatal infant monitoring to predict infection in ICU 24 hours in advance
4Analyzing 1000 pieces of unique medical diagnostic information / second and stored in a
dynamic model. Perspective: 20% drop in mortality of control group in trials
© 2012 IBM Corporation5
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
© 2012 IBM Corporation6
IBM Big Data Platform is your Big Data Knowledge Factory
Analytic Knowledge AcceleratorsAnalytic Knowledge Accelerators
• Text Analytics, Sentiment Analytics
• Statistical & Predictive Analytics
• Entity Integration Analytics
• Text Analytics, Sentiment Analytics
• Statistical & Predictive Analytics
• Entity Integration Analytics
• With current sources
• With new Big Data sources
• With current sources
• With new Big Data sources
Integration Integration
Enterprise RobustnessEnterprise Robustness
• Visualization & Application Tools
• Cluster and Workload Management
• Security & Governance
• Visualization & Application Tools
• Cluster and Workload Management
• Security & Governance
BI / Reporting Exploration / Visualization
FunctionalApp
IndustryApp
Predictive Analytics
Content Analytics
Your Current Analytic Applications
IBM Big Data Platform
Systems Management
Application Development
Visualization & Discovery
Accelerators
Information Integration & Governance
Data WarehouseHadoopSystem
Stream Computing
© 2012 IBM Corporation7
IBM Big Data Strategy: Move the Analytics Closer to the Data
BI / Reporting
BI / Reporting
Exploration / Visualization
FunctionalApp
IndustryApp
Predictive Analytics
Content Analytics
Analytic Applications
IBM Big Data Platform
Systems Management
Application Development
Visualization & Discovery
Accelerators
Information Integration & Governance
HadoopSystem
Stream Computing
Data Warehouse
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
• Visualize all available data for ad-hoc analysis
• Development environment for building new analytic applications
• Workload optimization and scheduling
• Security and Governance
© 2012 IBM Corporation8
www.bigdatauniversity.comwww.bigdatauniversity.com