Don’t miss our free hands-on training sessions (around two hours each day) from June 7 – 11. All folks who register for NODES can attend these sessions (scroll down for details).
In this week’s episode, we thank Alberto De Lazzari for his contributions to Neo4j.
One of our Data Scientist colleagues, Clair Sullivan, posted an easy-to-follow tutorial about getting started with Graph Embeddings.
Neo4j field engineer Alex Wolford posted an article about using Confluent with Neo4j Aura.
We discovered a website, Code. Simply. Calmly. Clearly. that features video courses, one of which introduces you to Neo4j, Cypher, and importing data.
The folks at Liquibase just enhanced their products to work with Neo4j to help you manage a Neo4j database from development to production. Our Cloud Architect, David Allen, was interviewed by the folks at the Data Stack Show, where he describes everything you need to know to make the decision to use Neo4j for your application.
And finally, we pulled from our library of NODES 2020 videos a presentation about modeling processes in the automotive industry.
Cheers, Elaine and the Developer Relations team
Featured Community Member: Alberto De Lazzari
This week’s featured community member is Alberto De Lazzari.
Alberto De Lazzari – This Week’s Featured Community Member
Alberto is a Certified Neo4j Developer and has helped many users in our community by answering their posted questions. Alberto will be presenting this year at NODES 2021 with a session in the Best Practices track entitled Graph AI to Combat Fraud in Fintech and Insurtech.
Alberto is a passionate technologist who always keeps up with the latest patterns, methodologies, and frameworks. In the past 10 years, he has worked in very different industries, from automotive and fleet management to insurance and banking.
Since 2007, Alberto has been working on legacy and cutting-edge systems, as well as a wide range of internalization and integration IT projects. Graphs have been Alberto’s passion since he was at university, where he wrote a thesis on clustering algorithms and neural networks. He is a contributor to official Neo4j projects, including APOC and ETL.
We thank Alberto for his contributions to our Neo4j community!
Tutorial: Getting Started with Graph Embeddings in Neo4j
Clair Sullivan just published a tutorial to get you started with graph embeddings using the Neo4j Graph Data Science Library. The starting point for all machine learning is to turn your data into vectors/embeddings. Clair shows you how to use graph embeddings to turn your graph data into vectors that can be tuned for your machine learning process. You can do all of this with a Neo4j Sandbox so you don’t need to install anything on your system. In the tutorial, she goes into the algorithms used for the different types of embeddings you can create.
Confluent Cloud, Meet Neo4j Aura
Our colleague, Alex Woolford, published an article that explains how data that passes through Confluent Cloud can also be passed into a Neo4j Cloud instance, Aura. More and more enterprises are choosing to use managed services, such as Confluent Cloud and Neo4j Aura, which unburden them from needing to manage and maintain the hosting services. He shows a simple example of how to stream Confluent events into Neo4j, where he uses a set of technologies which include Kafka, Python, Docker, REST API, and, of course, Cypher.
Code. Simply. Calmly. Clearly.
Vincent D. Warmerdam has an impressive website for learning called Code. Simply. Calmly. Clearly. This site is a collection of 74 video courses on a variety of technical topics. One of the courses teaches you how to get started with Neo4j Desktop and import CSV data into Neo4j. It’s a great course to go through if you want a simple introduction to Cypher.
Liquibase Now Supports Neo4j for Database DevOps
Liquibase has expanded support for DevOps to include integration with Neo4j databases. Their product enables engineers to accelerate their development workflow and streamline deployment of database applications. Liquibase is used to implement test automation for a variety of application databases.
The Data Stack Show Podcast: Graph Databases & Data Governance
David Allen – along with Kostas Pardalis and Eric Dodds, hosts of the Data Stack Show – had an hour-long discussion about Neo4j. In this podcast, David educated us on what Neo4j is, why a graph database is important, some tidbits about how Neo4j works under the covers, how Neo4j can scale, and how Neo4j can be used to work with event streams.
NODES 2020 Video of the Week: Scalable, Reactive Product Development Framework for the Automotive Industry
Last year at NODES, Elena Kohlwey and Uwe Kloss, from RLE International Group, presented an overview of how they analyzed the needs of the automotive industry. They describe how they used a combination of process graphs and knowledge graphs to develop the data model for the application.
Final Reminder: Pre-NODES 2021 Hands-on Training Sessions
We hope that you will or have already registered for NODES 2021. The week before our online conference, we will host two-hour, hands-on training sessions led by our Developer Relations team members. You do not have to register for the training sessions, as your registration for NODES 2021 will allow you to attend these sessions.
The sessions will take place every day at 9:00 a.m. EST | 1:00 p.m. UTC | 6:30 p.m. IST.
Here are the sessions you can attend:
- Mon., June 7: Hands-on Introduction to Neo4j with Ljubica Lazarevic
- Tue., June 8: Hands-on with Neo4j Aura Free Tier with Jennifer Reif
- Wed., June 9: Getting started with Neo4j Bloom with Ljubica Lazarevic
- Thu., June 10: Building GraphQL APIs With The Neo4j GraphQL Library with William Lyon
- Fri., June 11: Creating a Knowledge Graph with Neo4j: A Simple Machine Learning Approach with Clair Sullivan
The instructions to prepare your environment for each session are posted here. Registrants will receive an email with links for attending these sessions.
You can register here for NODES 2021.
Tweet of the Week
My favorite tweet this week was by py2neo.org:
Don’t forget to RT if you liked it too!