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Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Kevin O'Sullivan, SITA Lab, presents at SITA 2013 Europe Aviation ICT Forum
1.
SITA LAB
2.
Sydney Airport Big
Data Tell me something I don’t know. 17th October SITA Lab SITA LAB
3.
Contents • CPH History /
Big Data Gartner • Sydney Project Overview • What did we learn • Conclusion SITA LAB 3 | Sydney Analytics | Confidential | © SITA 2012
4.
Copenhagen Airport Pilot
(2011) World premiere of passenger flow management via WIFI SITA LAB 4 | Innovating Together|iFlow Confidential | © SITA 2012
5.
Google Trends, search
term “Big Data” SITA LAB 5 | Sydney Analytics | Confidential | © SITA 2012
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Hype Cycle for
Emerging Technologies 2013 Source: Gartner SITA LAB 6 | Sydney Analytics | Confidential | © SITA 2012
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SITA LAB 7 | Sydney
Analytics | Confidential | © SITA 2012
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Sydney Airport Big
Data Objectives • Predict accurate passenger flows across airport key facilitation zones, and in particular during an anomaly. • E.g. multiple large body aircraft unexpectedly arriving at same time. i.e. Tell me something I don’t know SITA LAB 8 | Sydney Analytics | Confidential | © SITA 2012
9.
Outcomes for Arrivals 2 1 Predicted
Flows 3 4 Roster Recommendations 6 Exit Flow Forecast SITA LAB 9 Total Pax Counts | data science engine | Confidential SITA | © SITA Transit Gate Estimations
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Data Sources Used WiFi
Analytics from iFlow Used to measure time to walk from gates to immigration and verify predictions Flight Schedules Used to get scheduled flight data. FIDS data Used get estimated arrival times and passenger counts Immigration Data Used to measure processing time at immigration SITA LAB 10 | Sydney Analytics | Confidential SITA | © SITA
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What does Big
Data architecture look like? Data Sources Visualization & Alerting HTML5 ETL email/SMS Prediction Engine R Java Hadoop Data Grid Oracle Big Data Appliance Cassandra SITA LAB 11 | Sydney Analytics | Confidential SITA | © SITA HPCC IBM Big Insights
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Google Glass Alert SITA
LAB
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What did we
learn? • Big Data projects are not about the data. • Big Data projects are about Business Intelligence. • Don’t be lured into conducting a fishing exercise on your data. • Set the BI objects at start of project, and stay lazer focused on these objectives. SITA LAB 13 | Sydney Analytics | Confidential SITA | © SITA
14.
What did we
learn? • You don’t need to commit big dollars for dedicated hardware and specalist software. • Run a starter project on commodity cloud servers and open source software. • Learn by doing. • It maybe cheaper for existing staff to learn big data, than a big data expert to learn your business SITA LAB 14 | Sydney Analytics | Confidential SITA | © SITA
15.
Conclusion • Start small
with Big Data • Focus on the Business Intelligence • Tell me something I don’t know. SITA LAB 15 | Sydney Analytics | Confidential SITA | © SITA
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