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Augusta language model.

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

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

Java/Python code examples and PyFlink Docker image used in Flink lectures

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

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

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

Aggregation of indices values over Nuts3 into database

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

End-to-end 'weather monitor' Docker Compose application using Flink (DataStream API), Kafka and Streamlit

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