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 Nepal or in NobleProg corporate training centers in Nepal.
NobleProg -- Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
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 live, instructor-led training in Nepal (online or onsite) is designed for technical professionals wishing to query RDF data stored in a Semantic Web database.
Upon completing this training, participants will be capable of:
Grasping the distinctions between semantic web data and traditional relational data.
Executing queries on public datasets in accordance with Semantic Web standards.
Structuring data to facilitate SPARQL queries.
Migrating a website's data to semantic linked data formats.
Executing SPARQL queries directly from within an established application.
This course clarifies the extensive capabilities of Semantic MediaWiki, ranging from structured semantic search, knowledge graph queries, and intelligent content navigation to sophisticated editing workflows integrated with the Semantic Web. It explores essential methods for connecting data, developing metadata-centric content systems, and establishing intelligent collaboration platforms that enable teams to automate cataloging, reveal 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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