RTDuri

RTDuri is a fictional open-source platform used in this article to illustrate concepts in real-time data processing and URI-based resource addressing. The name alludes to real-time data and a URI-centric approach to data streams.

In the imagined design, RTDuri acts as a modular data pipeline that ingests streams from diverse sources, routes them through processing stages, and stores results in time-series or document-oriented storage. It emphasizes interoperability, providing connectors for common messaging systems and data formats, and offering a pluggable processing layer.

The data model centers on URIs that identify streams and data products. A central catalog records schemas, access policies, provenance, and lineage, enabling reproducible experiments and governance.

Core components include an ingestion gateway, a streaming processor, a catalog service, and an API layer with REST and GraphQL endpoints. The architecture supports parallel processing, backpressure, fault isolation, and role-based access control.

Typical use cases include IoT sensor networks, smart-city telemetry, financial tick streams, and research data pipelines that require real-time insight and auditable data lineage.

Given its fictional status, RTDuri has no official release history or governance structure. It is commonly referenced in educational discussions to explore URI-driven data architectures, interoperability, and scalability trade-offs.