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

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.

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

End-to-end 'cryptocurrency trading' Docker Compose application using Flink, Kafka, PostgreSQL and Grafana

This project aims to create valid STAC elements given already existing raster datasets.

End-to-end 'cryptocurrency price tracker' Docker Compose application with Kafka producer/multiple consumers, Streamlit/Plotly