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vhi operational

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

Tool to convert impact chain Excel files into CSV files loadable into the CRISP DB (binaries)

Dockerfile and customizations for CLARIN DSpace

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

Aggregation of indices values over Nuts3 into database

OWL 2 QL ontology modules

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

Index calculation for spi, spei, rr anomalies, etc. Provided by ARSO.

Parallelized computation, publication and analysis of climate indices from climate projections time-series.

TeX Live installation(s) inside docker image(s)

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

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.

Code examples and resources for using Kafka with Docker, Java, and Python

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

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