Internet of Things and Big Data
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Internet of Things and Big Data

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    Internet of Things and Big Data Internet of Things and Big Data Presentation Transcript

    • Outline • IOT • Why Bigdata? • A reference Architecture • Technologies • Usecases Photo by John Trainoron Flickr http://www.flickr.com/photos/trainor/2902023575/, Licensed under CC
    • Internet of Things • Currently physical world and software worlds are detached • Internet of things promises to bridge this – It is about sensors and actuators everywhere – In your fridge, in your blanket, in your chair, in your carpet.. Yes even in your socks – Google IO pressure mats
    • If a tree falls in a forest and no one is around to hear it, does it make a sound?
    • A day in your life  Think about a day in your life? – What is the best road to take? – Would there be any bad weather? – How to invest my money? – How is my health?  There are many decisions that you can do better if only you can access the data and process them. http://www.flickr.com/photos/kcolwell/5 512461652/ CC licence
    • Analytics • Useful information about your organization/ system • E.g. Min, Max, mean, historical trends, grouping etc. • Technical term is KPIs (Key performance Indicators )
    • Real Time Analytics • Most first usecases were of batch processing, which take minutes if not hours to run • Many insights you rather have sooner – – – – – Tomorrows weather Heart condition Traffic congestion Natural disaster Stockmarket Crash
    • Making Sense of Data • To know (what happened?) – Basic analytics + visualizations (min, max, average, histogra m, distributions … ) – Interactive drill down • To explain (why) – Data mining, classifications, buildi ng models, clustering • To forecast – Neural networks, decision
    • Data Processing Landscape
    • Complex Event Processing
    • Internet of Things Architecture
    • Usecase 1: Travel • Collect traffic data + transportation data from sensors • Build a model (e.g. Car Following Models) • Predict the traffic .. Possibilities on congestion • E.g. divert traffic, adjust troll, adjust traffic lights
    • Usecase 2: Football Game • Event Processing challenge • Real football game, sensors in player shoes + ball • Events in 15k Hz • Event format – Sensor ID, TS, x, y, z, v, a • Queries – – – – Running Stats Ball Possession Heat Map of Activity Shots at Goal
    • Conclusions • • • • • IOT and Bigdata Case for analytics Data processing architecture Overall architecture Conclusion
    • Questions?