Architectures for big data

A.A. 2021/2022
6
Crediti massimi
48
Ore totali
SSD
INF/01
Lingua
Inglese
Obiettivi formativi
The course aims at describing the big data processing framework, both in terms of methodologies and technologies. Part of the lessons will focus on Apache Spark and distributed patterns.
Risultati apprendimento attesi
Students will learn:

How to distribute computation over clusters using Map Reduce model
How to write Apache Spark code
How Hadoop works and why it works that way
What a software architecture is
How to design batch architectures to manage data workflows
Several design patterns that could be used in a distributed environment
The limit of traditional SQL with Big Data
Programma e organizzazione didattica

Edizione unica

Periodo
Primo semestre
INF/01 - INFORMATICA - CFU: 6
Lezioni: 48 ore