Distributed graphs processing with Spark GraphX
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«Simplicity is prerequisite for reliability» by Edsger DijkstraPrologueA #graph is an apparent and easy-to-understand data structure. Since Leonard Euler’s era graph theory compelled the minds of humanity to reflect on different tasks, such as how one man can go through all seven bridges of Koenigsberg without going through either of them twice or how traveling salesman should find the most profitable route.Seven Bridges of Königsberg — is a notable problem in the graph theorySince the days of Euler, many things have appeared: transistors, programming languages, and distributed computing have appeared. The last of this list dramatically simplified the storage and processing of graphs. This is what will be discussed in this article.If you are not familiar with the basic concepts of Apache Spark (...)
#spark-graphx #big-data-graphs #distributed-graphs #big-data