Analytics and AI Applied to Graph Databases - Introduction and Demo
summary
Introduction to graph databases (their structure and advantages over relational databases) and their use cases such as social network management, fraud detection, and product recommendation. Covers advanced graph analysis algorithms (path search, community detection, centrality) and how machine learning and generative AI can enhance graph data use, ending with a practical demo showing setup, queries, and applying these analyses and AI tools to solve real problems.
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chapters (8)
- 0:00Introduction
- 1:28Graph database use cases
- 8:31Amazon Neptune features
- 15:58Neptune Analytics benefits
- 22:40LLM architecture with Neptune
- 25:33Use cases and demo
- 30:15Live demo
- 41:21Summary
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