Free O’Reilly Book: Graph Algorithms in Apache Spark and Neo4j
By Jocelyn Hoppa
April 15, 2019|Reading time: 3 minutes
Grab your free copy of the brand new O’Reilly book, “Graph Algorithms: Practical Examples in Apache Spark & Neo4j” – a practical guide to graph analytics.
Explore: Connected Data • data scientists • developers • graph algorithms • Graph Analytics • intelligent solutions • machine learning • neo4j • oreilly • predictive analytics • spark
Apache Spark + Cypher: We Need Your Feedback & Votes
By Bryce Merkl Sasaki
January 18, 2019|Reading time: 2 minutes
Editor’s Note: Alastair Green (Neo4j Query Languages Lead) and Martin Junghanns (Neo4j Cypher for Apache Spark project) will be speaking at the Spark + AI Summit in San Francisco this April. Want to Extend the Graph Capabilities of Spark? Let’s… Read more →
Explore: apache spark • cypher • Cypher for Apache Spark • Databricks • GQL • graph algorithms • graph query language • GraphFrames • spark • Spark + AI Summit
The eBay App for Google Assistant: Graph-Powered Conversational Commerce
By Jocelyn Hoppa
August 22, 2018|Reading time: 5 minutes
Editor’s Note: This presentation was given by Ajinkya Kale and Anuj Vatsa at GraphConnect New York in October 2017. Presentation Summary The eBay App for Google Assistant is a chatbot powered by knowledge graphs that supports conversational commerce. In creating… Read more →
Explore: ai • docker • eBay ShopBot • google cloud platform • graphconnect • knowledge graphs • Kubernetes • machine learning • natural language understanding • spark
Neo4j JDBC Driver 3.0.3 & 3.1.0 Released
By Bryce Merkl Sasaki
June 14, 2017|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.] Click here to skip straight to the JDBC driver announcement. During his opening keynote address, Emil… Read more →
Explore: APOC • bolt • Couchbase • etl • graphconnect • JDBC driver • JSON API • MongoDB • nosql database • spark
2016: The Year in Neo4j Drivers
By Bryce Merkl Sasaki
January 26, 2017|Reading time: 4 minutes
Spring is in the Air 2016 was the year when, in April with the availability of Neo4j 3.0 we also introduced our own binary protocol named Bolt. We also provided the first set of officially supported drivers for Bolt, including… Read more →
Explore: .NET • bolt • Causal Clustering • django • Elixir • go • Haskell • java • javascript • jdbc • neo4j drivers • PHP • python • ruby • spark
Neo4j with Scala: An Awesome Experience with Apache Spark [Community Post]
By Bryce Merkl Sasaki
October 25, 2016|Reading time: 2 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. This was originally posted on the Knoldus blog and was used with permission.] Editor’s Note: For… Read more →
Explore: apache spark • APOC • data caching • data migration • distributed data processing • graph database • neo4j • scala • spark • Spark connector
From the Neo4j Community: July 2016
By Bryce Merkl Sasaki
August 9, 2016|Reading time: 3 minutes
The Neo4j community has been very active this summer – that much is obvious. What you might not have noticed is how many new integrations and drivers have been published for new programming languages in the last month. Highlights include:… Read more →
Explore: elasticsearch • Elixir • Golang • grails • Neo4j Community • PHP • Pokémon • Recommendation Engine • spark • Tour de France
Introducing the Neo4j 3.0 Apache Spark Connector
By Bryce Merkl Sasaki
June 8, 2016|Reading time: 3 minutes
We proudly want to participate in this week’s flurry of announcements around Apache Spark. While we’re cooperating with Databricks in other areas like the implementation of openCypher on Spark and as an industry-partner of AMPLab, today I want to focus… Read more →
Explore: AMPLab • apache spark • bolt • cypher • GraphFrames • GraphX • neo4j 3.0 • PageRank • RDD • spark
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 →
Explore: dijkstra algorithm • docker • Graph Algorithm • graph compute • graphconnect • mazerunner • neo4j • OLTP • PageRank • spark
Trekking Boldly into the Future: Going Who Knows Where in the Graph Space
By Bryce Merkl Sasaki
November 25, 2015|Reading time: 16 minutes
Editor’s Note: Last October at GraphConnect San Francisco, Jim Webber – Chief Scientist at Neo Technology – delivered this very sciency closing keynote on the graph database landscape. For more videos from GraphConnect SF and to register for GraphConnect Europe,… Read more →
Explore: graph • graph analysis • graph database • multi-model database • neo4j 2.3 • OLAP • predictive analytics • range queries • spark • triadic closure
Meet openCypher: The SQL for Graphs
By Bryce Merkl Sasaki
October 21, 2015|Reading time: 5 minutes
If you haven’t just heard the news from my keynote presentation at GraphConnect San Francisco, you missed what I believe is going to be a defining moment not only for Neo4j but the entire world of graph technologies. Setting aside… Read more →
Explore: cypher • graph query language • neo4j • open source • opencypher • Oracle • query language • relational database • spark • sparql • sql
Getting Started with Apache Spark and Neo4j Using Docker Compose
By Bryce Merkl Sasaki
March 12, 2015|Reading time: 5 minutes
[This post was originally published on Kenny Bastani’s blog and was used with permission.] I’ve received a lot of interest since announcing Neo4j Mazerunner. People from around the world have reached out to me and are excited about the possibilities… Read more →
Explore: apache spark • Big Data • docker • docker compose • docker swarm • graph processing • neo4j • open source • PageRank • spark
Categorical PageRank Using Neo4j and Apache Spark
By Neo4j Staff
January 21, 2015|Reading time: 4 minutes
Written by Kenny Bastani, Originally posted on his blog PageRank is an important concept in computer science and modern technology. It is important because it is the underlying algorithm that mostly dictates what more than 3 billion users who use… Read more →
Explore: Kenny Bastani • PageRank • spark
Rabbithole, the Neo4j REPL console
By Neo4j Staff
April 9, 2012|Reading time: 1 minute
Rabbithole, the Neo4j REPL console Over the last few days the Neo4j community team worked on the initial iteration for an interactive Neo4j tutorial.The first result we are proud to publish is a sharable console that runs an in-memory Neo4j… Read more →
Explore: cypher • D3.js • geoff • github • heroku • neo4j • spark
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