Big Data Analytics 2019 Applicative Exercises : Exercise 1

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Presentation transcript:

Big Data Analytics 2019 Applicative Exercises : Exercise 1 By PhD. Samia Chehbi Gamoura Associate Professor – EM Strasbourg France

Big Data  Big Data Concept  Variety  Applicative Exercise 1 Group work. Duration 30min. Sore: 0.5 Try to list more than 10 data sources in at least 3 areas. For example RFID in Manucturing and Logistics Image/Pattern Area Type Data source Manufacuring / Logistics Chip with Digital code RFID

Big Data  Big Data Concept  Variety  Applicative Exercise 1 Proposed Solution Image/Pattern Area Type Data source Manufacuring / Logistics Chip with Digital code RFID (Radio Frequency ID) Distribution chains (stores) Machines check/In App POS (Points of Sales) All with paiements Machines check/in Banking PCR (Payment Cards Readers) All areas Machines and Apps GPS : Global Positioning System Home (THS) Temperature and Humidity Sensors

Big Data  Big Data Concept  Variety  Applicative Exercise 1 Proposed Solution Image/Pattern Area Type Data source Social life Apps SM (Social Media) Enterprises IS (Information Systems) All Machine with Apps SM (Smart Phones) Home and Office Machine with Check/in App PDA (Personal Digital Assistant) Vehicles with devices (mircro-chip) and Apps CV (Connected Vehicles)