Online Graph Computing Training in US

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 (online or onsite) is aimed at beginner 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 for Government** - To request a customized version focusing 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 building Semantic Web and Linked Data applications. In this instructor-led, live training, participants will learn how to utilize Apache Jena to develop 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 government or other specific needs, please contact us to arrange. This training is tailored to enhance technical skills in alignment with public sector workflows, governance, and accountability.

In this instructor-led, live training in US, participants will gain a comprehensive understanding of the technology offerings and implementation strategies for processing graph data. The objective is to identify real-world entities, their attributes, and relationships, then model these connections and process them as data using a Graph Computing (also known as Graph Analytics) approach. We begin with an overview of the field and progressively delve into specific tools 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 stored and navigated.
• Select the most appropriate framework for a given task, ranging from graph databases to batch processing frameworks.
• Implement Hadoop, Spark, GraphX, and Pregel to perform graph computing across multiple machines in parallel.
• Interpret real-world big data challenges through the lens of graphs, processes, and traversals, specifically for government applications.

The Semantic Web is a collaborative initiative spearheaded by the World Wide Web Consortium (W3C) aimed at promoting standardized formats for data on the internet. This framework enables data to be shared and reused across various applications, enterprises, and communities, enhancing interoperability and efficiency for government and other sectors.

This instructor-led, live training in [location] (online or onsite) is designed for technical personnel 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 distinctions between semantic web data and relational data. - Query public datasets using Semantic Web standards. - Model data for querying with SPARQL. - Transition a website's data to semantic web linked data. - Execute SPARQL queries from within an existing application. This training is tailored to enhance skills in managing and querying data for government and other public sector applications, ensuring alignment with modern data governance practices.

The one-day course offers participants an introduction to Semantic MediaWiki, a free and open-source wiki software designed to enhance data management and collaboration. This training is tailored to support the unique needs of government agencies, ensuring that participants gain practical skills in leveraging this tool for government workflows, governance, and accountability.