Neo4j Graph Tech Weekly (Edition:2)
This Week in Neo4j: GraphQL, Low Code, Cybersecurity, Graph Refactoring, and More
Here is a selection of graph-related articles we hope you will enjoy! In Adrien Sales’ blog, he explains how making his company’s information system available as a graph enabled the queries and visual discoveries that changed the company culture. Tom Nijhof’s chemical compound searcher is part of the Open Measurement project for sharing the results of biological experiments. In another piece, Sixing Huang compares graph solutions and, along the way, we learn about influenza, COVID-19, monkeypox, and the common cold. There’s more to read below, so dive in.
The CFP deadline for NODES is fast approaching! Submit your talk by August 20. As you plan for the fall, save the date for the Neo4j NODES conference on November 16 and 17, 2022
Cheers,
The Neo4j Team
PS: There’s still some fun left to be had this summer!? Start golfing at the Neo4j Code Golf challenge, a Cypher coding contest with prizes totaling $27,000!!
GRAPH REFACTORING: The Hard Way
Florent Biville , author of the Neo4j extension for Liquibase, shares his API design decision-making process. Liquibase is a widely-used tool for implementing flexible database changes.
KNOWLEDGE GRAPH: Full-Text Search in 197M Chemical Names Graph Database
In this blog, Tom Nijhof-Verhees builds a chemical compound searcher with the goal of linking compound synonyms with each other. He used the PubChem database which has millions of records that can be downloaded and put into a graph database for your own project.
领英推荐
Michael Simons explains how to write a GraphQL API that uses Neo4j AuraDB as a backend with Quarkus and deploy it as a native image on Heroku. He picked Quarkus, its official Neo4j-Extension and the Cypher-DSL. He translates the incoming GraphQL requests back from the model to Cypher. For defining the model, Quarkus provides SmallRye GraphQL.
NEO4J LIVE: Netfrenzy With Patrick Hurd
Patrick Hurd demonstrates NetFrenzy, an open source project that takes a different approach to visualizing a network. Instead of physical or logical diagrams, packet capture data can be imported into Neo4j to view hosts and connections in a graph layout.
KNOWLEDGE GRAPH: No-Code vs. Low-Code vs. Code; Cloud vs. On-Prem
黄思行 compares the construction of virus knowledge graphs on Gemini Cloud, AuraDB, and Neo4j Desktop. He shows you how to use a no-code cloud to construct a virus knowledge graph and then construct the same graph on Neo4j Desktop and AuraDB, and discusses the pros and cons of each.
GRAPH WITH NEO4J: Delivering Information System Cartography
In this blog, Adrien Sales maps an information system with services, middleware, and organizational units onto a knowledge graph.
NEO4J CYBERSECURITY AURADB & SANDBOX: Graphs for Cybersecurity
Chintan Desai explains how graph technology can be used to implement a cyber security solution, loading Active Directory data in form of graph nodes and relationships. Users can explore the cybersecurity use case in a Neo4j Sandbox.