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BIG DATA TOOLS - PART 2

2017-2018

IESEG School of Management ( IÉSEG )

Code Cours :

1718-IÉSEG-MBD1S1-MIS-MBDCE07UE

MANAGEMENT OF INFORMATION SYSTEMS


Niveau Année de formation Période Langue d'enseignement 
MSc in Big Data Analytics for Business1S1English
Professeur(s) responsable(s)S.GEUENS
Intervenant(s)Stijn GEUENS


Pré requis

• basic knowledge about programming languages in general

Objectifs du cours

At the end of the course, the student should be able to:
• know the big data landscape
• decide on the best tools to use in different cases
• know about different cloud platform and perform simple cluster creations
• make a trade-off between different storage options and know the basics of how to use them
• use Spark as main distributed computing, streaming, and machine learning tool
• use ElasticSearch as primary fast querying tool
• have a clear knowledge of business intelligence, and big data concepts and tools for storage, retrieval and analysis

Contenu du cours

• big data landscape
• cloud computing
• distributed storage
• distributed computing
• streaming
• fast Querying
• distributed machine learning


Modalités d'enseignement

Organisation du cours

TypeNombre d'heuresRemarques
Face to face
Interactive class24,00  
Independent work
Research11,00  
Independent study
Group Project20,00  
Individual Project20,00  
Charge de travail globale de l'étudiant75,00  

Méthodes pédagogiques

  • Research
  • Project work
  • Interactive class


Évaluation

Students will be assessed based on their participation in class, an individual project, and a group project.

Type de ContrôleDuréeNombrePondération
Continuous assessment
Participation24,00025,00
Others
Group Project20,00040,00
Individual Project20,00035,00
TOTAL     100,00




 
* Informations non contractuelles et pouvant être soumises à modification
 
 
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