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Snap4City platform: from cloud to data analytic as a Living Lab for Student and Researchers

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•Cloud-based Infrastructures for Smart Cities (120 min)
–Open Data, Private Data, Real Time data, etc.
–General Requirements for Smart City
–Data Ingestion and aggregation
–Semantic Modeling and City Knowledge Base, Km4City
–Data Storage and Data Shadow
–Data Indexing
–KB vs Smart City API
–Data processing and scheduling
•Supporting the Data Analytic on Smart City Data (90 min)
–Computational Requirements for Smart City
–IOT Applications VS Data Analytics: MicroServices, External Services, legacy integration, etc.
–Managing Data Analytics tools: processes vs Containers
–IOT Applications on cloud and MicroServices
–Data Analytics: predictions and anomaly detection
–Examples of Data Analytics: predicting parking
–Traffic flow reconstruction
–Social Media Analysis.
•From Data to Applications and Dashboards (90 min)
–Requirements on dashboards and security/privacy for smart city
–Dashboards: types and meaning
–Protocols from Dashboards
–Dashboards vs mobile app User Interface
–End-to-end security on IOT infrastructures
–Data Protection, Personal Data vs GDPR
–Living Lab Approaches: living demos
 
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