Online Graph Computing Training in the UAE

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.

The Apache Jena framework is an open-source Java solution designed for creating Semantic Web and Linked Data applications.

During this instructor-led live session, participants will gain the skills needed to utilize Apache Jena in building and deploying a Semantic Web Application. 

Upon completion of this training, attendees will have the ability to:

• Set up and configure Apache Jena
• Transform and store data using RDF format
• Query RDF datasets with SPARQL
• Evaluate and deploy a semantic web application

Audience

• Software Developers
• Data Engineers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

• If you require a customized training for this course, please contact us to make arrangements.

In this instructor-led, live training in the UAE, participants will learn about the technology offerings and implementation approaches for processing graph data. The aim is to identify real-world objects, their characteristics and relationships, then model these relationships and process them as data using a Graph Computing (also known as Graph Analytics) approach. We start with a broad overview and narrow in on specific tools as we step through a series of case studies, hands-on exercises and live deployments.

By the end of this training, participants will be able to:

• Understand how graph data is persisted and traversed.
• Select the best framework for a given task (from graph databases to batch processing frameworks.)
• Implement Hadoop, Spark, GraphX and Pregel to carry out graph computing across many machines in parallel.
• View real-world big data problems in terms of graphs, processes and traversals.

The Semantic Web represents a cooperative initiative spearheaded by the World Wide Web Consortium (W3C), aiming to establish uniform formats for data on the World Wide Web. This framework facilitates the sharing and reuse of data beyond the confines of individual applications, enterprises, and communities.

This instructor-led, live training in the UAE (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.

MediaWiki is a free and open-source wiki platform. This one-day course offers an introduction to Semantic MediaWiki for participants.