Scalable Semantic Data Pipeline
An automated data engineering pipeline using modern tools to continuously ingest and map disparate SQL data into an RDF/Property graph ontology.
Bridging the gap between traditional data engineering and semantic web standards. This proof-of-concept demonstrates a scalable, automated pipeline that uses modern tools (like dbt and Apache Spark) alongside RML mappings to continuously transform relational data silos into a unified, queryable enterprise Knowledge Graph.
Work in progress — this project is currently in the conceptual design phase.