Whether delivered online or on-site, these instructor-led Graph Computing training courses provide hands-on practice with various technologies and implementations for processing graph data. The goal is to help you identify real-world objects, define their attributes and connections, and subsequently model and process these relationships using advanced graph computing techniques.
Graph Computing training is offered in two formats: "online live training" or "onsite live training". Online live training (also known as "remote live training") is facilitated through an interactive remote desktop session. Onsite live training can be conducted directly at your customer premises in Prague or within NobleProg corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This live, instructor-led session in Prague focuses on SPARQL fundamentals, guiding you through writing SELECT, CONSTRUCT, and DESCRIBE queries. You will learn to refine outcomes with FILTER, UNION, and OPTIONAL, while transforming RDF graphs and accessing remote endpoints via SERVICE to achieve effective data federation.
This instructor-led, live training in Prague (online or onsite) is designed for technical professionals seeking to extract insights from RDF data stored within Semantic Web databases.
Upon completion of this training, participants will gain the ability to:
Distinguish between Semantic Web data structures and relational data models.
Execute queries against public datasets adhering to Semantic Web standards.
Structure and model data effectively for SPARQL querying.
Migrate website data into Semantic Web linked data formats.
Execute SPARQL queries directly from within existing applications.
This course in Prague demystifies Semantic MediaWiki's full feature set. You will master structured semantic search, knowledge-graph querying, and intelligent content navigation. Learn to link data, build metadata-driven systems, and create smart collaboration platforms for organizations.
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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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