Graph Data Modeling with Elixir and RDF

Graph databases and semantic web technologies are essential for managing highly connected, complex data. This text-based course guides you through connecting Elixir applications with RDF standards and graph databases. By the end of this course, you will transition from understanding basic graph concepts to building robust pipelines that ingest, transform, and query semantic data. You will gain the skills to model real-world relationships and execute federated queries across multiple data sources. What you'll learn: - Understand foundational graph database concepts, RDF triples, and semantic web standards. - Configure Elixir applications to interface seamlessly with Neo4j using modern drivers. - Transform and serialize complex graph models using pattern matching and structured Elixir data types. - Import and parse RDF datasets efficiently within concurrent Elixir pipelines. - Execute federated queries to retrieve and merge data from distributed graph endpoints. - Apply best practices for schema design and error handling in graph-based systems. The course begins with core definitions and semantic web fundamentals before moving into hands-on configuration, data transformation, and query strategies. Through clear written explanations and structured code snippets, you will build a solid foundation in graph-driven development. This course is designed for developers, data engineers, and architects who are new to graph databases and RDF, requiring no prior experience with semantic web technologies. Start mastering semantic graph integration with Elixir today.