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Aggregation of indices values over Nuts3 into database

End-to-end 'wikipedia monitor' Docker Compose application using Kafka, Spark, RxJS/ECharts

End-to-end 'news tag cloud' Docker Compose application with Kafka Connect, Schema Registry, a Kafka producer/consumer processor, and a Java web-app frontend

Supplemental material for 2025 KBS submission titled "Ontology-based Data Federation and Query Optimization"

Adapted from https://gist.github.com/staltz/868e7e9bc2a7b8c1f754

Examples for Docker / Docker Compose lecture

Based on https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/learn-flink/overview/ and https://github.com/apache/flink-training/ (with added exercises)

End-to-end RSS news classification app using Spark MLlib, Kafka, Flask/RxJS

Docker for the operational calculation of the soil moisture anomalies (SMA)

Bundle merlin-{docs,text,metadata,tasks,paula,annis,exmaralda,solr,relannis} data (as submodules)

vhi operational

Codebase for a docker container to be used in the ADO pipeline

This project explores and implements robust relational data models for efficiently storing and querying large-scale genetic Variant Call Format (VCF) data. Leveraging PostgreSQL, we present and evaluate eight distinct schema designs, demonstrating how traditional relational databases can offer competitive performance, scalability, and full database management system (DBMS) features for complex genomic workloads, complementing specialized tools like BCF Tools and TileDB-VCF.

Backend Docker Compose app featuring PostgreSQL, Ontop, LodView, and NGINX serving the frontend (production SPARQL endpoint, staging SPARQL endpoint)

Monitoring dashboard and log processing pipeline (access restricted online dashboard)