converting big data into big knowledge

8
© 2012 IBM Corporation Converting Big Data into Big Knowledge

Upload: summer-barr

Post on 03-Jan-2016

31 views

Category:

Documents


1 download

DESCRIPTION

Converting Big Data into Big Knowledge. Information from Every Entity – Machine. 640 Terabytes 1 Billion Lines of Code EACH engine generates 10 TB/30 minutes 280 flights every day 11 on British Airways alone. 30 billion RFID tags (1.3B in 2005) BMW 7 series Intelligent Tractors. - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Converting Big Data into Big Knowledge

© 2012 IBM Corporation

Converting Big Data into Big Knowledge

Page 2: 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

Page 3: Converting Big Data into Big Knowledge

© 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

Page 4: Converting Big Data into Big Knowledge

© 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

Page 5: Converting Big Data into Big Knowledge

© 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

Page 6: Converting Big Data into Big Knowledge

© 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

Page 7: Converting Big Data into Big Knowledge

© 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

Page 8: Converting Big Data into Big Knowledge

© 2012 IBM Corporation8

www.bigdatauniversity.comwww.bigdatauniversity.com