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Enseignement de Master 2 - DK910a : Web Data Models

Descriptif

This module will present concepts, architectures and algorithms for data storage, management, and analysis, at a very large scale, especially in distributed settings. The following topics will be covered, each illustrated with a representative system, whose main features will be detailed during lectures:
    Introduction to distributed systems (consistency, availability, and the CAP theorem; ACID vs BASE)Massively distributed (cloud-based) filesystems (e.g., HDFS/GFS)Modern distributed computing: MapReduceDistributed NoSQL databases:
      Dynamic Hash Tables (DHTs)Key-value stores“Big Table” - style systemsGraph databases: Neo4J, PregelDistributed triple storesDocument stores: MongoDB
    Data analysis tools in the Amazon cloud
A strong focus will be given to labs in this class, so that students can gather experience with different existing systems, and understand their respective advantages.

nombre d'heure en présentiel

21

Diplôme(s) concerné(s)

Format des notes

Numérique sur 20

Littérale/grade européen

Pour les étudiants du diplôme Data & Knowledge (D-K)

Le rattrapage est autorisé (Note de rattrapage conservée)
    L'UE est acquise si Note finale >= 10
    • Crédits ECTS acquis : 2.5 ECTS

    Le coefficient de l'UE est : 2.5

    La note obtenue rentre dans le calcul de votre GPA.

    Programme détaillé

    Mots clés

    distributed architectures, data models, Big Data
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