Rzeszów

RISE, Plac Wolności 13, Rzeszów, Poland, 35-073

The training room is located in the very heart of Rzeszow, making it easily accessible for participants. In the immediate vicinity, there are major public transportation hubs, such as city buses (MPK), railways (PKP), and long-distance buses (PKS), facilitating access from various parts of the city and beyond. Additionally, there is an underground parking garage at the Center Park gallery nearby, providing convenient parking for those using their own vehicles.

Głogów Małopolski

NobleProg , Strefowa 1, Głogów Małopolski, Poland, 36-060

The training room is located just 10 km southwest of Rzeszow, directly on the Rzeszow-Radom route, providing easy access from both cities. Additionally, its proximity to the A4 motorway and Jasionka airport facilitates transportation for both car travelers and those utilizing air transport.

Subcategories (2)

Category for Semantic Web

Semantic Web
Category for Semantic Wiki

Semantic Wiki

Explore Our Courses

Apache Jena: Creating a Semantic Web Application

 21 Hours
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.
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Introduction to Graph Computing

 28 Hours
In this instructor-led, live training in podkarpackie, 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.
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Semantic Web Overview

 7 Hours
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.
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SPARQL

 14 Hours
This instructor-led, live training in podkarpackie (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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Introduction to Semantic MediaWiki

 7 Hours
MediaWiki is a free and open-source wiki software. This one-day course provides participants with an introduction to Semantic MediaWiki.
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Testimonials (2)

Very nice training

Maira Frisch - Novartis Pharma AG

Course - SPARQL

He was interactive.

Suraj

Course - Semantic Web Overview

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