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flights-data

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FlightAnalysis

Lucass97 / FlightAnalysis

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This project implemented a lambda architecture for analyzing domestic flight data in the US from 2009 to 2020. It used Apache Spark for batch processing, Spark Streaming for real-time analysis, and SVM models to predict flight cancellations and delays, with Docker for cluster management and Grafana for real-time visualization.

python docker kafka spark cassandra apache-spark influxdb bigdata jupyter-notebook spark-streaming portainer lambda-architecture spark-sql spark-mllib hadoop-hdfs apache-hadoop apache-mllib roma-tre-university flights-data flights-delays
  • Updated Jul 28, 2023
  • Jupyter Notebook

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