Retail & Neo4j: Personalized Promotion & Product Recommendations
November 6, 2017 7 mins read
Today’s retailers face a number of complex and emerging challenges. Thanks to lower overhead and higher volume, online behemoths like Amazon can deliver products faster and at a lower price, driving smaller retailers out of business. In order to compete,… Read more →
Explore: Connected Data • Cyber Monday • ecommerce • graph technology • personalized promotion • product recommendations • real-time recommendations • Recommendation Engine • Retail • Walmart
This Week in Neo4j – 4 November 2017
November 4, 2017 4 mins read
Welcome to this week in Neo4j where we round up what’s been happening in the world of graph databases in the last 7 days. This week we have new about running Cypher on Apache Spark, an introduction to APOC, and… Read more →
Explore: apache spark • APOC • Cypher for Apache Spark • graph traversal • twin4j • user paths
Neo4j & GRANDstack at GraphQL Summit [+Developer Challenge]
November 2, 2017 4 mins read
The Neo4j Developer Relations team is tasked with making sure developers can build applications backed by Neo4j using their favorite technologies. One technology we’ve been really excited about recently is GraphQL. GraphQL is a relatively new paradigm for building APIs.… Read more →
Explore: Apollo Client • Apollo Launchpad • cypher • full-stack development • GRANDstack • GraphQL • GraphQL Summit • javascript • neo4j • React
Cypher – the SQL for Graphs – Is Now Available for Apache Spark
November 1, 2017 3 mins read
In case you missed it at GraphConnect New York: The Neo4j team has announced the public alpha release of Cypher for Apache Spark™. We’ve been building Cypher for Apache Spark for over a year now and have donated it to… Read more →
Explore: apache spark • Big Data • bolt • cypher • Cypher for Apache Spark • graph query language • graph technology • HDFS • open source • opencypher