NOVA Information Management School

Big Data

Code

200144

Academic unit

NOVA Information Management School

Credits

7.5

Teacher in charge

Mauro Castelli

Teaching language

Portuguese. If there are Erasmus students, classes will be taught in English

Objectives

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

Prerequisites

Basic knowledge of at least one programming language. 

 

Subject matter

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)

Bibliography

Hadoop: The Definitive Guide, Tom White.

Teaching method

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.

Evaluation method

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%).

Courses