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Duration 4 hours
Course Outline
Foundations of RDF and SPARQL
- Core RDF concepts: triples, IRIs, literals, and blank nodes
- The application of namespaces and QNames within queries
- An introduction to various SPARQL query forms and their respective use cases
Setting Up a SPARQL Working 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 for query execution
Fundamental SPARQL SELECT Queries
- Creating triple patterns and extracting variable bindings
- Implementation of DISTINCT, LIMIT, and OFFSET
- Ordering and filtering output fields using ORDER BY
Applying Filters and Solution Modifiers
- Using FILTER expressions and standard built-in functions
- Employing OPTIONAL for handling incomplete matches
- Merging patterns using UNION and MINUS
Advanced Query Techniques: Aggregation and Nested Queries
- Utilizing GROUP BY, COUNT, SUM, MIN, MAX, and HAVING
- Constructing nested queries and subselect structures
- Calculating derived values through expressions and the bind() function
Building and Modifying RDF Structures
- Generating new RDF graphs using CONSTRUCT queries
- Understanding the applicability of DESCRIBE and ASK query formats
- Modifying data via SPARQL UPDATE operations (INSERT/DELETE)
Handling Graphs and Named Graphs
- Working with quads and the GRAPH directive
- Administration and interrogation of named graphs
- Best practices for structuring dataset graphs
Federated Queries and Distant Endpoints
- Accessing remote SPARQL endpoints using the SERVICE keyword
- Addressing performance metrics and timeout management
- Tactics for integrating local and remote data sources
Practical Exercise: Real-World SPARQL Applications
- Extracting insights by querying DBpedia and other public datasets
- Developing reusable query templates and views
- Identifying and resolving common query errors while enhancing performance
Conclusion and Future Directions
Requirements
- A grasp of the RDF data model and the concept of triples
- Basic familiarity with HTTP and JSON protocols
- Confidence in reading and writing fundamental programming or query logic
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 1300 € + VAT*
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Testimonials (1)
Very nice training
