- Docente: Andrea Bartolini
- Crediti formativi: 3
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Ingegneria elettronica (cod. 0934)
Conoscenze e abilità da conseguire
The Lab of Big Data architectures extends and integrates what learnt by the student in the course statistics and architectures for big data processing with a more in depth and practical knowledge of the big-data technologies and architectures. The students will learn how to design a big data system, the key concepts and differentiators behind state-of-the-art technologies and architectures, and how to use it effectively. This will be done by a series of practical exercises with interactive explanations, where students will learn by solving practical problems and examples.
Contenuti
Configuring a Python environment
Connecting to a remote Big-Data Cluster
Creating a Big-Data Pipeline
Working with large datasets: from Pandas data frame to Spark data frame
Machine learning on large-scale time-series dataset
Metodi didattici
The class with consists of the completion of a set of practical tutorials and assignments conducted on the own laptop and on a remote big data cluster hosted by the Italian Supercomputing Centre CINECA.
Modalità di verifica e valutazione dell'apprendimento
Based on student's reports
Orario di ricevimento
Consulta il sito web di Andrea Bartolini