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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.
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Code examples and resources for using Kafka with Docker, Java, and Python
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End-to-end RSS news classification app using Spark MLlib, Kafka, Flask/RxJS
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earth_observation_public / CDR / climdex-kit
GNU General Public License v3.0 or laterParallelized computation, publication and analysis of climate indices from climate projections time-series.
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End-to-end 'wikipedia monitor' Docker Compose application using Kafka, Spark, RxJS/ECharts
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earth_observation_public / CDR / climdex-kit-paper
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ADO / ado_portal_update_db
MIT LicenseAggregation of indices values over Nuts3 into database
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End-to-end 'aircraft tracking' Docker Compose application using Kafka, Elasticsearch, Grafana (and optionally ksqlDB)
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commul / MERLIN Platform / data-bundle
Creative Commons Attribution Share Alike 4.0 InternationalBundle merlin-{docs,text,metadata,tasks,paula,annis,exmaralda,solr,relannis} data (as submodules)
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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
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ADO / sma_operational
MIT LicenseDocker for the operational calculation of the soil moisture anomalies (SMA)
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Applying Lexical Diversity (LD) measures for DaZ/DaF research.
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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)
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Adapted from https://gist.github.com/staltz/868e7e9bc2a7b8c1f754
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