Building Semantic Data Pipelines with RML and Spark

How to construct validated RDF knowledge graphs from relational databases and streaming sources at scale using RML mapping rules.

Data EngineeringPipelinesSparkRDF

Constructing enterprise-grade knowledge graphs requires ingesting unstructured, semi-structured, and relational data sources and converting them into a unified semantic graph representation. Learn how to design scalable ETL pipelines using RML mapping rules and Apache Spark.

Coming soon — this article is currently in the planning stage and will be published in full soon.