Understanding Aura Graph Analytics

Before you touch any code, you need to understand what Aura Graph AnalyticsThe Aura service that runs graph algorithms in a separate session, with no plugin to install. is, when to reach for it, and how to switch it on.

In this module, you'll learn:

• What Aura Graph Analytics is and how it differs from running GDSAnalysing data through the structure of its connections. Also the name of the Neo4j library that implements it. inside your database
• The Persistence Tax — the four costs of always-on graph compute that AGA avoids
• What persists across sessions, and what doesn't
• The three workloads AGA is built for, and the one workload it isn't
• How to enable AGA on an AuraNeo4j's fully managed cloud service. project and create the API credentials a session needs
• How to set up an AuraDBThe Aura product for transactional workloads. Free instance and load the movies dataset

By the end of this module, you'll have a project with AGA enabled, credentials in your secret manager, and a clear sense of when AGA is the right tool for the job.

In the next module, you'll drive your first session from CypherNeo4j's implementation of GQL, the ISO standard query language for graph databases. It is declarative: you describe the pattern to find, and the database decides how to find it. in the Aura Workspace.