NOVA Information Management School

Big Data

Código

200144

Unidade Orgânica

NOVA Information Management School

Créditos

7.5

Professor responsável

Mauro Castelli

Língua de ensino

Português. No caso de existirem alunos de Erasmus, as aulas serão leccionadas em Inglês

Objectivos

To present the main challenges related to the use of big data and the technologies to perform advanced analytics with Big Data.

Pré-requisitos

Basic knowledge of at least one programming language.

Conteúdo

Big Data: Introduction and Challenges
Hadoop Ecosystem
Map Reduce
Writing Map Reduce programs in Java: Mapper, Reducer, Driver
Advance Map Reduce concepts
Pig
Hive
Impala (depending on schedule)
 

Bibliografia

Hadoop: The Definitive Guide, Tom White.

Método de ensino

Theoretical classes where the professor will present the main technologies in the field of big data.

After each one of the theoretical classes, students will be asked to work on a practical assignment.

Método de avaliação

First epoch: two tests during the semester (each test contributes 50% for the final grade).

Second epoch: project (70%) and the grade of the mini tests of the first epoch (30%).

Cursos