Online or onsite, instructor-led live Graph Computing training courses demonstrate through hands-on practice the various technology offerings and implementations for processing graph data, with the aim to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using graph computing approaches.
Graph Computing training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Graph Computing training can be carried out locally on customer premises in lubuskie or in NobleProg corporate training centers in lubuskie.
NobleProg -- Your Local Training Provider
Zielona Góra
NobleProg Classroom, ul. Reja 6, Zielona Góra, poland, 65-076
The NobleProg Classroom is located at ul. Reja 6 in Zielona Góra.
SPARQL is the W3C-standard query language used to retrieve and manipulate RDF data from triple stores and SPARQL endpoints.
This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to learn practical SPARQL querying for data retrieval, transformation, and federation.
Upon completion of this training, participants will be able to:
Construct basic and advanced SPARQL SELECT queries to retrieve RDF data.
Use FILTER, OPTIONAL, and UNION to refine query results.
Write CONSTRUCT and DESCRIBE queries to transform RDF graphs.
Query remote endpoints and perform federated queries using SERVICE.
Format of the Course
Interactive lecture and discussion.
Hands-on exercises against live SPARQL endpoints.
Guided labs with sample RDF datasets and troubleshooting.
Course Customization Options
To request a customized version focusing on your organisation’s data model or specific SPARQL endpoints, please contact us to arrange.
This instructor-led, live training in lubuskie (online or onsite) is aimed at technical persons who wish to query RDF data stored in a Semantic Web database.
By the end of this training, participants will be able to:
Understand the difference between semantic web data and relational data.
Query public datasets based on Semantic Web standards.
Model data for querying with SPARQL.
Transition a website's data to semantic web linked data.
Run SPARQL queries from within an existing application.
Demystifies Semantic MediaWiki's full feature set — from structured semantic search, knowledge-graph querying, and intelligent content navigation to rich editing workflows with Semantic Web integration. Covers core techniques for linking data, building metadata-driven content systems, and creating smart collaboration platforms that empower teams to automate cataloging, surface hidden connections, and transform how organizations discover, manage, and share knowledge at scale and across domains.
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Testimonials (1)
She was very well verse with the material. Very nice, engaging. She always pauses to ask if there are questions or clarifications.
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