By Mark Needham, Developer Relations Engineer | May 19, 2018
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 the release of Neo4j 3.4 and Neo4j is now available on Google Cloud Launcher. We also have the GQL proposal, a deep dive into the new DateTime data type, and more.
Featured Community Member: Nicolle Cysneiros
This week’s featured community member is Nicolle Cysneiros, Full Stack Developer at Labcodes.
Nicolle Cysneiros – This Week’s Featured Community Member
Nicolle Cysneiros has been part of the Neo4j community for a couple of years and I first came across her work in a talk from Euro Python 2017 – Graph Databases: Talking about your Data Relationships with Python.
In this talk Nicolle gives an introduction to graph databases before showing examples on campaign donation and Game of Thrones datasets. She also shows how to use Neo4j alongside the NetworkX and igraph libraries.
On behalf of the Neo4j and Python communities, thanks for all your work Nicolle!
Neo4j 3.4 Released
You’ll be able to download this version automatically from the Neo4j Desktop and packages for server deployments are also available. We’ve also released new versions of the Graph Algorithms, APOC, and GraphQL plugins.
Neo4j available on Google Cloud Launcher
As of this week Neo4j is available on Google Cloud Launcher, and Christopher Crosbie from the Google Cloud Partner Engineering Team has written an article in which he shows how Neo4j can be used to better understand NCAA Mascots or analyze your GCP security posture with Stackdriver logs.
Christopher explains how to take the data from BigQuery into Neo4j and then shows Cypher queries to find the top mascots, as well as commonalities between them.
He then shows how Neo4j can be used to better understand your full cloud architecture by providing the ability to easily connect data relationships all the way from the Kubernetes microservices that collect the data to the rows in a BigQuery analysis where the data ends up in.
To get started for free you can sign up for a 3 day test drive.
GQL: It’s Time for a Single Property Graph Query Language
Earlier this week we published the GQL Manifesto, which proposes fusing the best of Cypher, PGQL and G-CORE into a more comprehensive query language built specifically for graph solutions.
Visualizing Open Data, Neo4j and Apache Spark, New Clojure Driver
- Scott Sosna shared the slides from his DevoxxUK 2018 talk. Scott shows how to explore various Open Data sources using Neo4J and see what you can discover. You can also watch the video from Scott’s talk.
- Stefan Armbruster has written a blog post in which he explains how to use Nginx as a reverse proxy server sitting in front of Neo4j.
- Dr. Christian Betz released neo4j-clj: a new Neo4j library for Clojure. In the post Christian explains the reason for creating the driver and covers some of the design decisions to make Clojure and Cypher play nicely together. Christian has also created a short video explaining the library.
- Iryna Feuerstein has written a blog post showing how to do Graph data processing with Neo4j and Apache Spark. You can find all the code in a Databricks notebook that Iryna created.
- mbox is a file format used for holding collections of email messages and John King has created mbox2neo, a utility to build a simple Neo4j graph database from these files.
- In Max De Marzi‘s latest post he shows how to use Neo4j to help retailers make offers to their customers, using only Cypher. Max does a deep dive into Cypher’s predicate functions and uses some of the new date functions released in Neo4j 3.4
Online Meetup: Experience Report – Building a modern URL shortener
Pouria explained the origins of the application, how he migrated the backend database from MongoDB to Neo4j, and the modelling decisions he made. He also spent some time going through the NodeJS code that backs the application.
You can find the code for the project in the thedevs-network/kutt GitHub repository.
What’s happening next week in the world of graph databases?
May 21st 2018
May 24th 2018
Sebastian Bischoff, Adrian Ziegler, Michael Hunger
May 24th 2018
Amy Hodler, Alastair Green
Tweet of the Week
My favourite tweet this week was by Eddy Wong:
Presenting “#Graphs, #GraphDatabases, and #NetworkScience” as a topic for research to the master’s graduate students in CS at @UCSP in #Arequipa #ComputerScience #Peru #startup … with my #Neo4j bottle #GraphsAreEverywhere pic.twitter.com/vLv4NJGkHu— Eddy Wong (@eddywongch) May 16, 2018
Don’t forget to RT if you liked it too.
That’s all for this week. Have a great weekend!
About the Author
Mark Needham, Developer Relations Engineer
Mark Needham is a graph advocate and developer relations engineer at Neo4j.
As a developer relations engineer, Mark helps users embrace graph data and Neo4j, building sophisticated solutions to challenging data problems. Mark previously worked in engineering on the clustering team, helping to build the Causal Clustering feature released in Neo4j 3.1. Mark writes about his experiences of being a graphista on a popular blog at markhneedham.com. He tweets at @markhneedham.
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