Online or onsite, instructor-led live Semantic Web training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Semantic Web.
Semantic Web 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. The US onsite live Semantic Web trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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.
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.
This instructor-led, live training in the US (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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Course Discounts
API Testing with Postman
04/03/2023 - 09:30
Remote
21 hours
Cybersecurity Fundamentals
04/12/2023 - 09:30
Remote
28 hours
Web Security with the OWASP Testing Framework
04/17/2023 - 09:30
Remote
28 hours
Leadership 101
04/21/2023 - 09:30
Remote
7 hours
User Experience Design with Figma
04/21/2023 - 09:30
Remote
7 hours
Natural Language Processing
04/24/2023 - 09:30
Remote
21 hours
Terraform Fundamentals for Beginners
04/24/2023 - 09:30
Remote
21 hours
Cucumber: Implementing BDD with Java
04/24/2023 - 09:30
Remote
7 hours
Terraform on AWS
04/24/2023 - 09:30
Remote
21 hours
Ethical Hacker
04/25/2023 - 09:30
Remote
35 hours
JIRA for Advanced Users
04/25/2023 - 09:30
Remote
7 hours
JIRA for Administrators
04/25/2023 - 09:30
Remote
7 hours
JIRA for Beginners
04/26/2023 - 09:30
Remote
7 hours
Agile Project Management with Kanban and Jira
04/27/2023 - 09:30
Remote
14 hours
Effective Agile Project Management with Jira & Confluence
04/27/2023 - 09:30
Remote
7 hours
SAP S/4 Hana (S/4Hana)
05/01/2023 - 09:30
Remote
21 hours
Rest Assured APIs with Postman and Java
05/01/2023 - 09:30
Remote
21 hours
Advanced Machine Learning with Python
05/03/2023 - 09:30
Remote
21 hours
Data Analysis with SQL, Python, and Tableau
05/08/2023 - 09:30
Remote
14 hours
Python for Natural Language Generation
05/10/2023 - 09:30
Remote
21 hours
Deep Learning with TensorFlow
05/10/2023 - 09:30
Remote
21 hours
Blender: 3D Modeling Fundamentals
05/15/2023 - 09:30
Remote
35 hours
Artificial Intelligence (AI) for Robotics
05/22/2023 - 09:30
Remote
21 hours
Python for Data Analysis
05/22/2023 - 09:30
Remote
28 hours
Machine Learning with Python – 2 Days
05/25/2023 - 09:30
Remote
14 hours
Communicating and Influencing - For Managers and Team Leaders
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