Happy New Year! In this special edition of our weekly newsletter, we take a look at some of the best articles from 2022, including several deep dives into use cases. And you’ll find links to the GraphAcademy courses new in 2022. In addition, 2022 was a year with many exciting product releases:
- Graph Database Neo4j 5 – The latest release of Neo4j Database was released in November
- Graph Data Science 2.0 and AuraDS Releases – Graph Data Science 2.0 brings a ton of new features
- Neo4j Ops Manager – All of your Neo4j databases from ine centralized location
- Neo4j Bloom 2.3 – Supercharged With Graph Data Science
- If you’re using JSON data, please share your opinion in this survey.
- If you’re a developer building modern applications with GraphQL, please take this two-minute survey.
Tomaz Bratanic, Freelance Data Analyst and Engineer, demonstrates the use of graph algorithms in Neo4j Graph Data Science to increase the accuracy of a machine learning model. Follow along with the code examples using the Neo4j Desktop application and an anonymized dataset from a P2P payment platform.
Follow along in Jennifer Reif’s blog as she converts MongoDB-connected services to use Spring Cloud Config for accessing database credentials, matching the architecture she set up with a Neo4j microservice. This is a multi-step blog detailing an increasingly sophisticated, managed, configuration-savvy system of services.
Sixing Huang demonstrates how to create a graph solution to companion planting – the practice of growing diverse plants in proximity that support each other by nutrient provision, beneficial insect attraction, or pest suppression. He creates a knowledge graph from the available table-based information to gain new insights into the data. .
Chintan Desai shares an example of a Neo4j-based Microservice (Web API). The approach can be used for other types of applications with out-of-the-box dependency injection (DI) and service provider features from .NET Core.