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

2. 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

3. 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

4. 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)