Online or onsite, instructor-led live SPARQL (SPARQL Protocol and RDF Query Language) training courses demonstrate through interactive discussion and hands-on practice how to use SPARQL to retrieve and manipulate data stored in RDF format.
SPARQL 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 SPARQL training can be carried out locally on customer premises in Xiamen or in NobleProg corporate training centers in Xiamen.
NobleProg -- Your Local Training Provider
Xiamen International Plaza
8/F, 8/F, International Bank Tower Centre, 8 Lujiang Road, Siming District, Xiamen, china, 361001
This premium business centre is located on the 8th floor of International Plaza, a 37th storey landmark on Lujiang Road in Xi...
This premium business centre is located on the 8th floor of International Plaza, a 37th storey landmark on Lujiang Road in Xiamen's CBD. Situated next to the water and opposite of Gulangyu, the famous scenic island of Xiamen, Lujiang Road has become the Bund in Xiamen and a popular place for relaxation. Major clients in the building include companies in financial investmen, professional services, logistics, import and export, electronics and IT. Nearby amenities include Bank of China, Industrial and Commercial Bank of China, Xiamen Millennium Harbourview Hotel and Xiamen Wyndham Hotel. The centre is conveniently located with easy access to sea, land and air transportation. Ferry terminals are just minutes away from the building. The BRT (Bus Rapid Transit) station is nearby and it is only 15 minutes away by BRT to Xiamen Railway Station. Direct passenger trains are available from Xiamen to Shanghai, Nanjing, Hefei, Fuzhou, Nanchang and Yingtan. There are over 60 domestic and international destinations to and from Xiamen Gaoqi International Airport.
Apache Jena is an open source Java framework for building Semantic Web and Linked Data applications.
In this instructor-led, live training, participants will learn how to use Apache Jena to build and deploy a Semantic Web Application.
By the end of this training, participants will be able to:
Install and configure Apache Jena
Convert and store data in RDF format
Query RDF data using SPARQL
Test and deploy a semantic web application
Audience
Developers
Data Engineers
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
Blazegraph is an open source, Java-based RDF graph database for storing and representing data with complex relationships. It supports Blueprints and RDF/SPARQL 1.1.
In this instructor-led, live training, participants will learn how to use Blazegraph to capture complex data in graph format for retrieval from a number of sample applications. All exercises will be carried out hands-on in a live-lab environment.
By the end of this training, participants will be able to:
Install and configure Blazegraph in standalone mode, clustered mode (optional) or embedded mode (optional)
Create, test and deploy a sample application to query complex data in a Blazegraph data store
Understand how to leverage GPU (graphics processing unit) to accelerate computations
Audience
Developers
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
To request a customized training for this course, please contact us to arrange.
The Semantic Web is a collaborative movement led by the World Wide Web Consortium (W3C) that promotes common formats for data on the World Wide Web. The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
This instructor-led, live training in Xiamen (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.
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Broad coverage and deep knowledge about Semantic Web
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