Whether conducted online or on-site, our instructor-led live Graph Computing training sessions emphasize hands-on practical application. These courses explore various technology offerings and implementations dedicated to processing graph data. The primary objective is to help learners identify real-world objects along with their distinct characteristics and interconnections, subsequently modeling these relationships and processing them as data through effective graph computing methodologies.<\/p>
Graph Computing training is offered in two formats: "online live training" and "onsite live training". Online live training (also referred to as "remote live training") utilizes an interactive remote desktop environment. Onsite live training can be delivered either locally at customer premises in Athens or within NobleProg corporate training centers located in Athens.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
This live, instructor-led course in Athens focuses on the core principles of SPARQL, enabling you to craft SELECT, CONSTRUCT, and DESCRIBE queries. You will learn to enhance result precision using FILTER, UNION, and OPTIONAL, while also transforming RDF graphs and querying remote endpoints via SERVICE to achieve effective data federation.
This instructor-led, live training in Athens (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.
This course within Athens explains the complete feature set of Semantic MediaWiki. You will gain proficiency in structured semantic search, knowledge-graph queries, and intelligent content navigation. Discover how to interlink data, construct metadata-driven systems, and establish smart collaboration platforms for enterprise use.
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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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