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Duration 4 hours
Course Outline
Introduction to RDF and SPARQL
- Foundations of RDF: triples, IRIs, literals, and blank nodes
- The use of Namespaces and QNames within queries
- An overview of SPARQL query forms and their typical use cases
Setting Up a SPARQL Environment
- Installation and execution of Apache Jena Fuseki or RDF4J Server
- Populating a triple store with sample RDF datasets
- Utilizing a SPARQL client or workbench to execute queries
Foundational SPARQL SELECT Queries
- Constructing triple patterns and retrieving variable bindings
- Applying DISTINCT, LIMIT, and OFFSET clauses
- Sorting and projecting results using ORDER BY
Filtering and Applying Solution Modifiers
- Implementing FILTER expressions and built-in functions
- Using OPTIONAL to handle partial matches
- Combining patterns with UNION and MINUS
Advanced Querying: Aggregation and Subqueries
- Utilizing GROUP BY, COUNT, SUM, MIN, MAX, and HAVING
- Working with nested queries and subselect patterns
- Computing values using expressions and bind()
Building and Transforming RDF Data
- Employing CONSTRUCT queries to create new RDF graphs
- Understanding DESCRIBE and ASK query forms and their applications
- Using SPARQL UPDATE for data modifications (INSERT/DELETE)
Handling Graphs and Named Graphs
- Understanding Quads and the GRAPH keyword
- Managing and querying named graphs
- Best practices for organizing dataset graphs
Federated Queries and Remote Endpoints
- Querying remote SPARQL endpoints using SERVICE
- Considerations regarding performance and timeouts
- Strategies for merging local and remote data
Practical Lab: Real-World SPARQL Scenarios
- Extracting insights from DBpedia and other public datasets
- Creating reusable query templates and views
- Debugging common query errors and optimizing performance
Summary and Path Forward
Requirements
- A solid understanding of the RDF data model and triples
- Basic familiarity with HTTP and JSON concepts
- Confidence in reading and writing fundamental programming or query expressions
Target Audience
- Data engineers and integration specialists
- Semantic web developers
- Analysts working with linked data
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 1600 € + VAT*
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Testimonials (1)
Very nice training
