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CityPulse: Real-time IoT Stream Processing and Large Scale Data Analytics Aims: Support discovery and integration of heterogeneous dynamic data streams in smart city infrastructure Perform real-time quality analysis over live data streams Employ big data analytics to extract meaningful knowledge from large number of data streams and big datasets. Smart adaptation and user centric decision support Bridge the gap between application technologies for IoT and real world data streams 26/03/2015 1 Presenter: Ali Intizar
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Page 1: CityPulse_LightningTalk_BigDataConference

CityPulse: Real-time IoT Stream Processing and Large Scale Data Analytics

Aims: •  Support discovery and integration of heterogeneous dynamic data

streams in smart city infrastructure

•  Perform real-time quality analysis over live data streams

•  Employ big data analytics to extract meaningful knowledge from large number of data streams and big datasets.

•  Smart adaptation and user centric decision support

•  Bridge the gap between application technologies for IoT and real world data streams

26/03/2015 1 Presenter: Ali Intizar

Page 2: CityPulse_LightningTalk_BigDataConference

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CityPulse: Real-time IoT Stream Processing and Large Scale Data Analytics

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•  Crowd sourcing (Citizens, City Stakeholder and Technical Experts)

•  Ranking of the scenarios (http://ict-citypulse.eu/scenarios/) •  Top 21 will be implemented as a proof of concept •  Prototype demonstration: Context Aware Travel Planner

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CityPulse: 101 Use-case Scenarios