Whether delivered online or onsite, our instructor-led live Graph Computing training courses provide a hands-on experience exploring the various technology offerings and implementations for processing graph data. The objective is to enable you to identify real-world objects, their characteristics, and relationships, and to model and process these connections using graph computing approaches.
Graph Computing training is available as "online live training" or "onsite live training". Online live training (also known as "remote live training") is conducted via an interactive remote desktop. Onsite live training can be delivered locally at customer premises in Sofia or at NobleProg corporate training centers in Sofia.
NobleProg -- Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
This live, instructor-led course in Sofia provides a deep dive into SPARQL essentials, guiding you through the creation of SELECT, CONSTRUCT, and DESCRIBE queries. Participants will learn to refine their results using FILTER, UNION, and OPTIONAL, while simultaneously transforming RDF graphs and querying remote endpoints via SERVICE to achieve effective data federation.
This instructor-led, live training Sofia (online or onsite) is designed for technical professionals 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.
This course in Sofia provides a clear understanding of the full feature set of Semantic MediaWiki. It enables you to master structured semantic search, knowledge-graph querying, and intelligent content navigation. Furthermore, it teaches you how to link data, construct metadata-driven systems, and develop smart collaboration platforms for organizational use.
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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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