Modeling and Importing Data into Neo4j Workshop
In this hands-on workshop, you will learn how to model and import data into Neo4j, using a real-world dataset to build a product recommendation engine in the process.
You’ll learn graph modeling by solving a real business problem: "What products do people like me buy, that I haven’t bought yet?"
The Northwind dataset represents a fictitious company that sells food products.
You will learn:
-
Graph fundamentals: Nodes, relationships, properties, and Cypher patterns
-
Performance model: How anchor nodes and traversal make queries fast
-
Modeling decisions: When to use nodes vs. relationships vs. properties
-
Import workflow: Using Neo4j’s Import tool to load CSV data
-
Query patterns: Multi-hop traversals and collaborative filtering
By the end, you’ll have a complete graph database and understand how to build recommendation systems.
Prerequisites
This workshop is designed for beginners. No prior knowledge of Neo4j or graph databases is required.
Basic familiarity with databases and SQL concepts will be helpful but not essential.
Duration
2 hours
What you will learn
-
The benefits of Neo4j Aura and how to create a free instance
-
The fundamentals of graph data modeling
-
How to design nodes, labels, relationships, and properties
-
Techniques for importing CSV data into Neo4j
-
How to write Cypher queries to explore and analyze graph data
-
Best practices for data modeling and importing
This workshop includes
-
Multiple hands-on lessons
-
Practical exercises with the Northwind dataset
-
Knowledge checks to reinforce your learning
Get Support
If you find yourself stuck at any stage then our friendly community will be happy to help. You can reach out for help on the Neo4j Community Site, or head over to the Neo4j Discord server for real-time discussions.
Feedback
If you have any comments or feedback on this course you can email us on graphacademy@neo4j.com.
Are you an instructor?
If you are running this course as an instructor, you can view the instructor notes by clicking the button below.