Online Graph Computing Training in Slovakia

SPARQL is the W3C-standard query language designed for retrieving and manipulating RDF data from triple stores and SPARQL endpoints.

This instructor-led, live training (available both online and onsite) is aimed at participants with beginner to intermediate levels of expertise who wish to learn practical SPARQL querying techniques for data retrieval, transformation, and federation.

Upon completing this training, participants will be able to:

• Construct basic and advanced SPARQL SELECT queries to retrieve RDF data.
• Use FILTER, OPTIONAL, and UNION clauses to refine query results.
• Write CONSTRUCT and DESCRIBE queries to transform RDF graphs.
• Query remote endpoints and perform federated queries using the SERVICE clause.

Format of the Course

• Interactive lectures and discussions.
• Hands-on exercises conducted against live SPARQL endpoints.
• Guided labs with sample RDF datasets and troubleshooting sessions.

Course Customization Options

• To request a customized version that focuses on your organization’s data model or specific SPARQL endpoints, please contact us to arrange.

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

In this instructor-led, live training, participants will learn how to utilize 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 extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.

In this instructor-led, live training in Slovakia, 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 is a collaborative initiative spearheaded by the World Wide Web Consortium (W3C) aimed at promoting standardized formats for data on the World Wide Web. This initiative provides a unified framework that enables data to be shared and reused across different applications, enterprises, and communities.

This instructor-led, live training in Slovakia (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 software. This one-day course offers participants an introduction to Semantic MediaWiki, enhancing their understanding of its features and capabilities.