Welcome to this week’s newsletter! Soothe your ETL hunger with “Ingesting Big Data into Neo4j”. Fahran Wallace and team have really gone the distance with this project so that you can benefit from their insights at every step. On another note, how do you store and transport a property graph data model? That’s the problem Michael Simons and team solved by introspecting the database and creating a JSON response that validates against a JSON schema. Read all about it in “Describing a Property Graph Data Model”.”
Then, in the April episode of GraphStuff.FM, Alison Cossette explains the new release of Graphy McGraphface, a new tool that will make your data analysis a breeze. Don’t miss it!
Sharing and learning are the bread and butter of our community! We want to give you more opportunities to tell your story. Let us know about the topics you want to present at Meetups and local conferences
Cheers,
Yolande Poirier
- Featured Nodes Speaker: Sefik Serengil
- Data Science: Enhancing Word Embedding With Graph Neural Networks
- Graph: Describing A Property Graph Data Model
- Nodes 2022: Neo4j With Docker And Docker Compose Deep Dive
- Cypher Tutorial: Getting Started With A Graph Database And Its Query Language
- Data: Ingesting Big Data Into Neo4j
- Skill-a-thon 1.0: Team Osl Submission
- Tweet Of The Week: @ikwattro
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