ITA | ENG
B028463 - BIG DATA ARCHITECTURES
Main information
Teaching Language
Course Content
Suggested readings
Learning Objectives
Prerequisites
Teaching Methods
Further information
Type of Assessment
Course program
Sustainable Development Goals 2030
Academic Year 2022-23
Coorte 2021 - Second Cycle Degree in INFORMATICS ENGINEERING
Course year
Second year - First Semester
Belonging Department
Information Engineering (DINFO)
Course Type
Single education field course
Scientific Area
ING-INF/05 - INFORMATION PROCESSING SYSTEMS
Credits
6
Teaching Hours
48
Teaching Term
12/09/2022 ⇒ 16/12/2022
Attendance required
No
Type of Evaluation
Final Grade
Course Content
show
Course program
show
Lectureship
Mutuality
Course teached as:
B028463 - BIG DATA ARCHITECTURES
Second Cycle Degree in ARTIFICIAL INTELLIGENCE
B028463 - BIG DATA ARCHITECTURES
Second Cycle Degree in ARTIFICIAL INTELLIGENCE
Teaching Language
Italian with slides in english
Course Content
-- big data concepts
-- big data stores
-- cloud management: virtual machines and containers
-- Big data computing
-- Performance analysis
-- IOT architectures and solutions
-- big data analytic
-- Big data architectures
During the course, exercitations and examples will be performed on hadoop, mapreduce, IOT application, containers, elastic search, twitter vigilance.
-- big data stores
-- cloud management: virtual machines and containers
-- Big data computing
-- Performance analysis
-- IOT architectures and solutions
-- big data analytic
-- Big data architectures
During the course, exercitations and examples will be performed on hadoop, mapreduce, IOT application, containers, elastic search, twitter vigilance.
Suggested readings (Search our library's catalogue)
several
Learning Objectives
to learn at design, use and understand big data architecture
Prerequisites
operating systems
Teaching Methods
slides and exercitations in the lab.
During the course, exercitations and examples will be performed on, IOT application, containers, node-red, data analytics python, elastic search, twitter vigilance.
During the course, exercitations and examples will be performed on, IOT application, containers, node-red, data analytics python, elastic search, twitter vigilance.
Further information
see https://www.disit.org
Https://www.km4city.org
https://www.disit.org/tv
https://www.snap4city.org
Https://www.km4city.org
https://www.disit.org/tv
https://www.snap4city.org
Type of Assessment
oral or small project
Course program
-- big data concepts
-- big data stores
-- cloud management: virtual machine e container
-- Big data computing
-- Performance analysis
-- IOT architecture and solutions
-- big data analytic
-- Big data architectures
-- big data stores
-- cloud management: virtual machine e container
-- Big data computing
-- Performance analysis
-- IOT architecture and solutions
-- big data analytic
-- Big data architectures