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© 2013 IBM Corporation
Jacob Büchler (jbuechler@dk.ibm.com)
Solution executive, IBM Danmark
September, 2013
Big Data – et paradigmeskifte?
© 2013 IBM Corporation2
Hvad er Big Data?
En (af flere) definition:
Big Data er datasæt, der
vokser så stort og varieret, at
de bliver akavet at arbejde
med ved anvendelse af
eksisterende database
management teknologier
© 2013 IBM Corporation3
“Data is the New Oil”
“For første gang har vi en økonomi baseret på en nøgleressource
[Information], som ikke alene er vedvarende, men selvgenererende. At
løbe tør for den, er ikke problemet, men derimod det at drukne i den.”
– John Naisbitt
Harvesting any resource requires Mining, Refining and Delivering
Big Data er det næste “råstof”
Ja, et paradigmeskifte
© 2013 IBM Corporation4
2+
billion
people
on the
Web by
end
2011
30 billion RFID
tags today
(1.3B in 2005)
4.6
billion
camera
phones
world
wide
100s of
millions
of GPS
enabled
devices
sold
annually
76 million smart
meters in 2009…
200M by 2014
12+ TBs
of tweet data
every day
25+ TBs
of
log data
every day
?TBsof
dataeveryday
Hvor kommer Big Data fra?
© 2013 IBM Corporation5
Analyse
(Datavarehus, etc…)
Usynlig
information
Dataadministration
Forretningsdata
Collectively
Analyzing the
broadening Variety
Responding to the
increasing Velocity
Cost efficiently
processing the
growing Volume
Establishing
the Veracity of
big data
sources
30
Billion
RFID
sensors
and
counting
1 in 3 business leaders don’t trust
the information they use to make
decisions
50x 35
ZB
2020
80% of the
worlds data is
unstructured
2010
Ny teknologi har givet
adgang til hidtil ukendt
information og mønstre
om fortiden og fremtiden
Struktureret
© 2013 IBM Corporation6
”Maskinrummet”
© 2013 IBM Corporation7
Traditionellestrukturerededata
Håndtering af klassisk strukturet Information
- ”eksisterende database management teknologier”
Predictiv
analyse
Forretnings-
analyse
&
Rapporter
Eksisterende
forretningssystemer
Datavare-
hus
• Dyb BI
• Operationel
analyse
• Storskala
struktureret data
management
© 2013 IBM Corporation8
Ustruktureret/Streamingdata
Brugere af Information
Realtids streaming
(in-motion)
• Video/audio
• Netwærk
• Geospatial
• Predictiv
Big Data Storage og
Analyse
(at-rest)
Ad hoc
• Tekst/entity analytics
• Data mining
• Machine learning
Hvordan anvendes Big Data?
– struktureret/ustruktureret Information
Predictiv
Analyse+
Struktureretdata
Forretnings-
analyse
&
Rapporter
Datavare-
hus
• Dyb BI
• Operationel
analyse
• Storskala
struktureret data
management
© 2013 IBM Corporation9
Hvordan anvendes Big Data for ”Smarter Lighting” – eksempler?
- Trafikregulering, energibesparelse, kriminalitets- og miljøovervågning, anlægsvedligeholdelse, telemedicin etc.
© 2013 IBM Corporation10
For mere information:
ibm.com/bigdata

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Ibm big data ccc (2013)1

  • 1. © 2013 IBM Corporation Jacob Büchler (jbuechler@dk.ibm.com) Solution executive, IBM Danmark September, 2013 Big Data – et paradigmeskifte?
  • 2. © 2013 IBM Corporation2 Hvad er Big Data? En (af flere) definition: Big Data er datasæt, der vokser så stort og varieret, at de bliver akavet at arbejde med ved anvendelse af eksisterende database management teknologier
  • 3. © 2013 IBM Corporation3 “Data is the New Oil” “For første gang har vi en økonomi baseret på en nøgleressource [Information], som ikke alene er vedvarende, men selvgenererende. At løbe tør for den, er ikke problemet, men derimod det at drukne i den.” – John Naisbitt Harvesting any resource requires Mining, Refining and Delivering Big Data er det næste “råstof” Ja, et paradigmeskifte
  • 4. © 2013 IBM Corporation4 2+ billion people on the Web by end 2011 30 billion RFID tags today (1.3B in 2005) 4.6 billion camera phones world wide 100s of millions of GPS enabled devices sold annually 76 million smart meters in 2009… 200M by 2014 12+ TBs of tweet data every day 25+ TBs of log data every day ?TBsof dataeveryday Hvor kommer Big Data fra?
  • 5. © 2013 IBM Corporation5 Analyse (Datavarehus, etc…) Usynlig information Dataadministration Forretningsdata Collectively Analyzing the broadening Variety Responding to the increasing Velocity Cost efficiently processing the growing Volume Establishing the Veracity of big data sources 30 Billion RFID sensors and counting 1 in 3 business leaders don’t trust the information they use to make decisions 50x 35 ZB 2020 80% of the worlds data is unstructured 2010 Ny teknologi har givet adgang til hidtil ukendt information og mønstre om fortiden og fremtiden Struktureret
  • 6. © 2013 IBM Corporation6 ”Maskinrummet”
  • 7. © 2013 IBM Corporation7 Traditionellestrukturerededata Håndtering af klassisk strukturet Information - ”eksisterende database management teknologier” Predictiv analyse Forretnings- analyse & Rapporter Eksisterende forretningssystemer Datavare- hus • Dyb BI • Operationel analyse • Storskala struktureret data management
  • 8. © 2013 IBM Corporation8 Ustruktureret/Streamingdata Brugere af Information Realtids streaming (in-motion) • Video/audio • Netwærk • Geospatial • Predictiv Big Data Storage og Analyse (at-rest) Ad hoc • Tekst/entity analytics • Data mining • Machine learning Hvordan anvendes Big Data? – struktureret/ustruktureret Information Predictiv Analyse+ Struktureretdata Forretnings- analyse & Rapporter Datavare- hus • Dyb BI • Operationel analyse • Storskala struktureret data management
  • 9. © 2013 IBM Corporation9 Hvordan anvendes Big Data for ”Smarter Lighting” – eksempler? - Trafikregulering, energibesparelse, kriminalitets- og miljøovervågning, anlægsvedligeholdelse, telemedicin etc.
  • 10. © 2013 IBM Corporation10 For mere information: ibm.com/bigdata