Cloud Computing and Algorithms for Massive Datasets
A.Y. 2026/2027
Learning objectives
The objective of this course is to introduce the fundamental concepts at the basis of massive data management and analysis, including the main processing techniques dealing with data at massive scale and their implementation on distributed computational frameworks, on one side, and the technologies and solutions at the basis of cloud computing paradigm and modern distributed systems (e.g., microservice architectures), on the other side.
Expected learning outcomes
The student will have knowledge and understanding of the main approaches enabling the processing of massive amounts of data, as well as the operating principles of modern distributed computing systems, including cloud computing and microservice-based architectures. The student will acquire the ability to design and execute computations on massive datasets.
Lesson period: Second four month period
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
INFO-01/A - Informatics - University credits: 6
Lessons: 48 hours