GraphConnect, the highly-anticipated gathering of graph technology experts and enthusiasts, is coming to Austin, Texas! It’s the best place to learn about connected data and relationships in graphs. Find out about the trends and topics that will shape the future. Check out the agenda online for sessions and luminaries in the field. All of this is happening on June 6 – 8 in downtown Austin at the Fairmont Hotel.
BTW, right now we are offering a special rate for our community. Tell your friends to register with the code: Community50
Community matters a great deal to us at Neo4j. We’d like to understand how you, developers, are building GraphQL APIs with managed cloud services. If you have used a GraphQL managed service, we’d love to learn about your experience and how it could be improved in this survey.
P.S.: As an incentive to complete this survey, we will optionally invite you to participate in an early access program for a new, upcoming Neo4j GraphQL managed service.
Cheers,
Yolande Poirier
FEATURED COMMUNITY MEMBER: Philipp Brunenberg
NEO4J UNDER THE HOOD: Graph Composition as a Recurring Pattern
Welcome to the seventh episode of Neo4j Under The Hood – Graph Composition as a Recurring Pattern. In this episode, you will be introduced to graph composition and learn why it is one of the most advanced concepts for graph databases.BLOG: 10 Things You Can Do With Cypher That Are Hard With SQL
Graph databases allow for more flexible searches than relational databases – and Cypher produces more legible code than SQL. In this blog, Michael Hunger creates some useful data structures and query patterns, demonstrating that what may be difficult in SQL is easy in Cypher.VIDEO: Exploring the Eurovision Song Contest Dataset in Neo4j
ARTICLE: How to Set Up a Neo4j Sink Connector in Kafka
BLOG: Backup a Neo4J Instance Running in Managed Kubernetes
In this video tutorial, Sebastian Daschner builds on his previous videos to do backups of a running Neo4J database instance that is deployed to a managed Kubernetes cluster.BLOG: Conduct Legal Research with AI
Throughout a four-part series, Justin Napolitano modeled a legal dataset in a graph database with a Person, Object, Location, Event (POLE) schema. This allows relating cases, justices, subjects, objects, ideas, and events to one another to train ML models to automate much of the legal research pipeline.TWEET OF THE WEEK: @Ifeanyidiaye
Don’t forget to retweet if you like it!Graph representation of the Kaggle HR dataset. Impossible is nothing with @neo4j #graph #graphdatabase #DataScience pic.twitter.com/KNIMzKeV9H
— iFeanyi (@Ifeanyidiaye) May 13, 2022
In Case You Missed It:
Tom Larsen released a small update (v1.0.4) to the Graphyx tools this week. The only change was to update the Neo4j Go driver to the latest version. No bug fixes or new features. Learn more.
Neo4j 4.4 new features (Cloud-Native API and CALL {…} IN Transactions). Check it out .
Want to learn how to build a simple recommendation engine? Learn more.
