“Google” Your Own Brain: Create a CMS with Neo4j & Elasticsearch [Community Post]
By Bryce Merkl Sasaki
September 20, 2016|
Reading time: 6 minutes
[As community content, this post reflects the views and opinions of the particular author and does not necessarily reflect the official stance of Neo4j.] Grasp Theory is a project that is exploring a new way to catalogue and recall documents… Read more →
Keywords: apache spark • APOC • betweenness centrality • CMS • content management system • elasticsearch • GraphX • mazerunner • PageRank • Search Engine
Graph Compute with Neo4j: Built-in Algorithms, Spark & Extensions
By Bryce Merkl Sasaki
March 9, 2016|
Reading time: 10 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Ryan Boyd – Developer Relations at Neo Technology – delivered this presentation on how to perform various graph compute functions within the Neo4j ecosystem. For more videos from GraphConnect SF and to… Read more →
Keywords: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark
Using Apache Spark and Neo4j for Big Data Graph Analytics
By Bryce Merkl Sasaki
November 6, 2014|
Reading time: 4 minutes
Originally posted on my blog. Using Apache Spark and Neo4j for Big Data Graph Analytics As engineers, when we think about how to solve big data problems, evaluating technologies becomes a choice between scalable and not scalable. Ideally we choose… Read more →
Keywords: apache spark • Kenny Bastani • mazerunner
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