Module 6: Scaling up

This module addresses the main issues of Linked Data and scalability. In particular, it provides details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.

URL: http://www.euclid-project.eu/modules/course6
Keywords: MapReduce, Linked Data, Big Data, Scalability, NoSQL, Hadoop
Publisher: EUCLID Project
Language: http://id.loc.gov/vocabulary/iso639-2/eng
Time required: P3H
Educational use: professionalDevelopment
Educational audience: student
Interactivity type: mixed

Competencies

Articulates differences between the RDF abstract data model and the XML and relational models.
- Fundamentals of Resource Description Framework
  - RDF data model
    - Articulates differences between the RDF abstract data model and the XML and relational models.
Understands the RDF abstract data model as a directed labeled graph.
- Fundamentals of Resource Description Framework
  - RDF data model
    - Understands the RDF abstract data model as a directed labeled graph.
Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values.
- Interacting with RDF data
  - Querying RDF data
    - Understands that a SPARQL query matches an RDF graph against a pattern of triples with fixed and variable values.
Understands the difference between SQL query language (which operates on database tables) and SPARQL (which operates on RDF graphs).
- Interacting with RDF data
  - Manipulating RDF data
    - Understands the difference between SQL query language (which operates on database tables) and SPARQL (which operates on RDF graphs).

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Module 6: Scaling up