This course aims to explore the BIG DATA world by understanding all the technical components and aspects, through the study of the top frameworks and databases by learning and practicing in multiples scenarios and applications. Upon successful completion of this course, students will be able to: • Understand the difference between regular and big data • Analyze data in different scenarios • Enter deeply in databases parameters and alterations • Exploit domains of application • Understand and practice all the setup phases • Learn multiple types of databases • Practice multiple frameworks for better decision making • Students will use these analytical and technical tools to solve application problems in a variety of settings like medical, marketing, online user experience, agricultural, etc.

Temps présentiel : 25 heures

Charge de travail étudiant : 100 heures

Méthode(s) d'évaluation : Examen écrit

Référence :
• Hadoop in 24 Hours, Sams Teach Yourself by Jeffrey Aven • Hadoop For Dummies by Dirk deRoos • Cognitive Computing for Big Data Systems Over IoT Frameworks, Tools and Applications by Sangaiah A. et al. • Big Data Analytics A Hands-On Approach by Arshdeep Bahga, Vijay Madisetti