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The Year of the Graph Newsletter: September 2018by@linked_do
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The Year of the Graph Newsletter: September 2018

by George AnadiotisSeptember 2nd, 2018
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<strong>Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune.</strong>
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Knowledge graphs in Gartner’s hype cycle, machine learning extensions and visual tools for graph databases, Ethereum analytics with RDF, Using Gremlin with R, SPARQL, and Spring, graph database research wins best paper award in VLDB, and benchmarking AWS Neptune.

Not bad for a typical summer vacation month such as August. This edition of the Year of the Graph newsletter had to be extended to make sure we include as much of the good stuff as possible.

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Post Tagged with Analytics, AWS, Big Data, CosmosDB, Data Science, Enterprise Knowledge Graphs, Ethereum, Gremlin, Linked Data, Machine Learning, Microsoft, Neo4j, Neptune, Open Source, R, RDF, SPARQL, Stardog, Tigergraph, Tinkerpop, Visualization

Originally published at linkeddataorchestration.com on September 2, 2018.