Data processing media

School / Prep
ENSEIRB-MATMECA

Internal code

EI9IS323

Description

The objective of this course is to teach students the basic concepts needed to process large amounts of data in a distributed way.

To this end, the following points will be discussed:
1. Introduction to big data
2. The Hadoop framework and the HDFS distributed file system
3. The MapReduce paradigm
4. Building applications with Spark
5. Introduction to NoSQL databases

CIIntegrated courses16h

Syllabus

Big data management:

Big data presentation: Issues and challenges
Storage
Processing and querying (NoSQL)

Infrastructures:

Virtualisation
Cloud-based
Technologies: Haddop

Visualisation:

Representation, navigation, correlation

Data analysis and extraction

Data mining

Initial assessment / Main session

Type of assessment	Nature of assessment	Duration (in minutes)	Number of tests	Evaluation coefficient	Eliminatory evaluation mark	Remarks
Integral Continuous Control	Continuous control			1		Evaluation on moodle
Project	Defense			1

Data processing media

School / Prep

Internal code

Description

Teaching hours

Syllabus

Assessment of knowledge

Initial assessment / Main session