AuraDS
The Aura product for data science workloads, with the Graph Data Science library installed.
Lessons that use this term
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8 lessons use this term. Results are ordered by term density.
Aura In Production6 mentions
- Managing SnapshotsBackup and RestoreAuraDB Professional and AuraDS Professional create snapshots once per5 mentions
- Restore OperationsBackup and Restoreinstances: .backup file (latest version) or .dump file (version 4.x) AuraDS instances:1 mention
AuraDB Fundamentals4 mentions
- About AuraIntroduction to Neo4j AuraAuraDS — A managed environment for graph data science, including graph algorithms and machine learning4 mentions
Get started with Graph Data Science2 mentions
- GDS orientationGet started with the Graph Data Science librarycan use GDS with Neo4j’s AuraDS cloud and self managed Neo4j2 mentions
Neo4j Management, Optimization, and Refactoring Workshop2 mentions
- Database Backup & RestoreAura AdministrationAuraDB Professional and AuraDS Professional create snapshots once per2 mentions
Neo4j Administration Workshop1 mention
- OptionsInstallmanagement required Available as AuraDB (graph database) and AuraDS (data science) Scales automatically, with built-in backups and security Free tier available for getting1 mention
Aura Graph Analytics fundamentals2 mentions
- The AGA workflow end to endFrom the Python clientlike the GraphDataScience instance you've used against local Neo4j or AuraDS — every method on it works the same1 mention
- Train and publish machine learning modelsAura Graph Analytics in the Aura Workspaceare scoped to their environment. A model trained on an AuraDS instance isn't available to Aura Graph Analytics sessions, and vice1 mention