Building a customer 360 graph application with Amazon Neptune
summary
Shows how Amazon Neptune hosts a Customer 360 identity graph that claims support for up to 400 billion objects, a cluster with up to 128 TB storage and 16 instances, and decoupled compute and storage. Demonstrates loading anonymized clickstream via CSV bulk loader, using Neptune notebooks with Gremlin and openCypher queries, visualizing with vis.js, linking transient IDs to persistent IDs, and integrating Neptune Streams, DMS, Glue, OpenSearch, and Neptune ML (DGL). Notes production use by Cox Automotive, Netflix, and Thomson Reuters.
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chapters (10)
- 0:00Introduction to talk
- 1:28What are graphs and use cases
- 10:41Common graph application types
- 17:57Amazon Neptune overview
- 23:54Neptune console and notebooks
- 28:17Identity graph demo and queries
- 36:15Building applications with Neptune
- 38:47Customer 360 case study
- 39:50Resources and getting started
- 40:31Q&A session
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