By Mark Needham, Developer Relations Engineer | May 20, 2017
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.
Featured Community Member: Ben Nussbaum
This week’s featured community member is Ben Nussbaum, CTO of Neo4j Solution Partner AtomRain.
Ben Nussbaum – This week’s featured community member
Ben has been an active member of the Neo4j community for the last five years, while building out the GraphGrid data platform, which provides hosted Neo4j, graph algorithms, and advanced analytics.
The Neo4j GraphQL Community Graph Hackathon
The Salesforce graph, Software analytics, Automated menu planning
- Pat Patterson wrote a cool post showing how to analyse Salesforce data using Neo4j. Pat shows how to import data using the JDBC connector and then shows how to write a query to find the biggest outstanding opportunity.
- Dariusz Pawlukiewicz has been writing a series of posts on Neo4j and Cypher, and this week shows how to write complex queries as well as explaining the UNION & WITH clauses.
- Markus Harrer, who featured in #twin4j on 11 March 2017 and 18 March 2017, presented Software Analytics for Pragmatists at DevOps Camp 2017 in Nürnberg.
- Dirk Mahler has a very detailed post showing how to analyse Git repositories using jQAssistant in all sorts of ways. He shows how to write Cypher queries to find experts in domains and technologies, distribution of development activity, potential hotspots in the code, and much more.
- On the Gousto Tech blog Irene Iriarte explains how they’ve been combining graph databases and genetic algorithms to create an automated menu planning algorithm which produces new recipes for their customers.
- Quackit released a tutorial for learning Neo4j. If you’ve been meaning to give Neo4j a try, this could be your weekend to get started!
State of graph databases survey
IBM released the results of their State of graph databases survey where people were asked why they’re using graph databases and what they’re planning to use them for in future.
Democratising data at Airbnb
Following on from their talk at GraphConnect Europe last week, Chris Williams and John Bodley explain how Airbnb have developed Dataportal, a novel data resource search and discovery tool to make sense of their internal data.
Dataportal combines Flask, ElasticSearch, and Neo4j to help employees discover and then search data that would usually only be available in team specific silos.
ComputerWorld UK also have a detailed write up of the talk.
Neo4j available on AWS & Azure Marketplace
Neo4j is now available in the Azure Marketplace
If you use either of those cloud providers be sure to give it a try and let us know how you get on.
From The Knowledge Base
On the Podcast: Darko Križić
Darko has been working on Neo4j projects for the last couple of years and chats with Rik about how they got into graph databases at PRODYNA, why graphs work well for modeling complex domain models, and the Cypher query language.
Tweet of the Week
My favourite tweet this week was by Tim Williams:
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.
From the CEO
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