AWS Podcast #645: Amazon Neptune Analytics
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Dec 11, 2023 Dr. Denise Gosnell, Principal Product Manager for Amazon Neptune, discusses the new Neptune Analytics engine and how it helps customers gain insights from large graph databases. The podcast covers various use cases for Amazon Neptune, including fraud detection and targeted content recommendation, as well as the benefits of using Neptune Analytics in generative AI applications. Listeners can also learn how to get started with graph databases and analytics using open source formats and Jupiter notebooks.
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Graph Databases Model Connections
- Graph databases excel at representing and querying relationships between data entities.
- They outperform traditional row-column systems in handling complex connected data.
Popular Amazon Neptune Use Cases
- Amazon Neptune supports knowledge graphs, identity graphs, fraud detection, and security graphs.
- These models help understand connections like social entities, identity data, fraud patterns, and network vulnerabilities.
Use Graph DB for Complex Joins
- If your relational SQL queries contain many joins and perform slowly, consider a graph database.
- Graph databases excel in handling complex join patterns efficiently.