RDF and Semantic Web Foundations for Data Integration

In an increasingly interconnected digital landscape, data trapped in isolated silos limits organizational agility. RDF (Resource Description Framework) offers a standardized, web-scale approach to linking diverse datasets seamlessly. This text-only course guides you from semantic web basics to practical data integration strategies. You will transition from understanding simple data relationships to designing flexible graph models that break down traditional database boundaries. By learning to represent data as interconnected nodes, you will gain the skills needed to build unified, future-proof data systems. What you'll learn: - Understand core RDF concepts, including triples, URIs, and graph-based data structures - Write and read RDF data using modern serialization formats like Turtle and JSON-LD - Query semantic data sources using basic SPARQL syntax to extract meaningful insights - Model real-world relationships using foundational schemas and ontologies - Apply data integration techniques to merge disparate datasets without schema conflicts - Explore how modern knowledge graphs leverage RDF for enterprise data management This course begins with essential terminology and the foundational philosophy of the semantic web before moving into syntax, query patterns, and practical data-linking strategies. It is designed for beginners, database administrators, and data analysts with no prior experience in graph databases or semantic technologies. Start reading today to unlock the potential of global data integration.