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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
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