Distributed architectures for big data processing and analytics (2025/2026)

Distributed architectures for big data processing and analytics (2025/2026)

General Information

SSD: ING-INF/05

CFU: 8

Professor: Paolo Garza

Teaching Assistants: Simone Papicchio


Teaching Material

Introduction
Hadoop and MapReduce
Spark

Additional material

Slides and screencasts about Java (kindly provided by Prof. Torchiano) (link)
Focus on the following subset of slides/lectures (for students who have never used Java):
— OO Paradigm and UML (The UML part is not mandatory)
— The Java Environment
— Java Basic Features
— Java Inheritance