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. Caruaru onsite live Graph Computing trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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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 Caruaru (online or in-person) is designed for technical professionals who wish to query RDF data stored in a Semantic Web database.
Upon completing this training, participants will be equipped to:
Differentiate between semantic web data and relational data.
Query public datasets in accordance with Semantic Web standards.
Structure data for efficient querying via SPARQL.
Migrate a website's existing data to Semantic Web linked data.
Execute SPARQL queries directly from within existing applications.
This module demystifies the extensive capabilities of Semantic MediaWiki, covering structured semantic search, knowledge-graph querying, intelligent content navigation, and rich editing workflows integrated with the Semantic Web. It explores essential techniques for linking data, constructing metadata-driven content systems, and developing smart collaboration platforms. These tools enable teams to automate cataloging, uncover hidden relationships, and revolutionize how organizations discover, manage, and share knowledge at scale across various 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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