In this lesson, you will add a Neo4j instance containing the Movies recommendations dataset to your Neo4j Aura console.
Add the instance
GraphAcademy has created a Neo4j instance loaded with the dataset for you to use during this course.
To add the GraphAcademy instance to your Aura console:
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Open the Aura Console.
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Goto Instances, Self-managed, and click Add deployment.
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Select Monitored, give the instance a name (for example,
My Sandbox), and click Connect.
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Enter the following connection details for your sandbox:
- Connection URL
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bolt+s://{instance-host}:{instance-boltPort}
- Username
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{instance-username}
- Password
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{instance-password}
- Database
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{instance-database}
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Click Next to add the instance to your Aura console.
You can now use your instance in the Aura console to complete the course.
Make a note of your username, password, and database as you may need them later.
Instance expiration
GraphAcadmey instances expire after 3 days. You can return to this lesson and re-add a new instance if it expires will you’re completing the course.
Review the dataset
The dataset has approximately 9,000 movies, people (actors and directors), genres, users, and ratings — consisting of about 28,000 nodes and 166,000 relationships.
The schema:
(:User)-[:RATED]->(:Movie)
(:Person:Actor)-[:ACTED_IN]->(:Movie)
(:Person:Director)-[:DIRECTED]->(:Movie)
(:Movie)-[:IN_GENRE]->(:Genre)Open Query, connect to your instance, and run:
CALL db.schema.visualizationYou should see Movie, Person, User, and Genre nodes connected by RATED, ACTED_IN, DIRECTED, and IN_GENRE relationships.
Explore the dataset and get a feel for the different labels, relationship types, and properties.
Summary
In this lesson, you added the GraphAcademy movie recommendations dataset instance to your Aura console.
In the next lesson, you will connect Dashboards to your instance.