Understanding Aura Graph Analytics
Before you touch any code, you need to understand what Go to glossary for Aura Graph Analytics (opens in a new tab)The 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 Go to glossary for graph data science (opens in a new tab)Analysing 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 Go to glossary for Aura (opens in a new tab)Neo4j's fully managed cloud service. project and create the API credentials a session needs
- How to set up an Go to glossary for AuraDB (opens in a new tab)The 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 Full definition for Cypher (opens in a new tab)Neo4j'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.