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 Southampton or in NobleProg corporate training centers in Southampton.
NobleProg -- Your Local Training Provider
Southampton
International House, Southampton International Business Park, Southampton, united kingdom, SO18 2RZ
This centre occupies a great position - highly visible from the M27 motorway. The building's focal point is a beautiful atrium flooding the reception area with natural light. A comfortable, professional business lounge and a large breakout area where you can relax or network add to the welcoming atmosphere. This is an outstanding south coast location next to Southampton airport with air, road and rail transport links on the doorstep. Regular launches and exhibitions held at the centre have contributed to its reputation as a hub of business and cultural activity. Southampton is an innovative and enterprising city with thousands of thriving organisations and tens of thousands of productive people. The most significant sectors in terms of businesses and employee numbers are distribution, tourism, banking and finance-related activities. It also has one of the top 10 research-led universities in the UK, which provides a wide range of services to the business community.
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 Customisation Options
To request a customised version focusing on your organisation’s data model or specific SPARQL endpoints, please contact us to arrange.
This instructor-led, live training in Southampton (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.
Jones Manlapaz - Nordstern Group
Course - Introduction to Semantic MediaWiki
Provisional Upcoming Courses (Contact Us For More Information)
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