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In this analysis, I am going to use graph analysis applied to a Big Data framework. I will use GraphFrames Spark library with the API for DataFrames (GraphFrames Spark library) to analyze a dataset containing information about flight connections and airports in the whole world.
18 lip 2020 · This algorithm works by building a chart of the airports and their distance from each other and it iterates over each airport three times and updates the distances as it traverses the...
16 mar 2016 · Analyze on-time flight performance using GraphFrames for Apache Spark to uncover insights and improve airline operations.
12 maj 2017 · To analyze Real-Time Flight data using Spark GraphX, provide near real-time computation results, and visualize the results using Google Data Studio. Use Case — Computations to be done :...
19 mar 2021 · I extracted two sets of data for my analysis-1. Routes: Gives the source and destination airports IATA and the number of flights between them. 2. Airports: Gives details about airports.
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