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AWS re:Invent 2019: Real-world customer use cases with Amazon Neptune (DAT220)

AWS re:Invent 2019: Real-world customer use cases with Amazon Neptune (DAT220)

Published on Dec 08, 2019

Why do you need a graph database? In this session, we deep dive into the use cases of Amazon Neptune. You hear from Uber and NBCUniversal about how they have deployed highly scalable graph solutions with Neptune. This session also covers the companies’ design decisions, the lessons they learned, and their experiences with this service.

7:01
Video preview
Nike: A Social Graph at Scale with Amazon Neptune
7:01
30:26
Video preview
AWS re:Invent 2019: Real-world customer use cases with Amazon Neptune (DAT220)
30:26
1:01:02
Video preview
AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)
1:01:02

2021

AWS Summit Online ASEAN 2021 | Data-driven risk analysis - Amazon Neptune and Elasticsearch Service

AWS Summit Online ASEAN 2021 | Data-driven risk analysis - Amazon Neptune and Elasticsearch Service

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AWS On Air ft. Neptune Declarative Query Language for Graphs | AWS Events

How to Incorporate graph databases in .NET Applications with Amazon Neptune

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Cox Automotive Powers Identity Graph with Amazon Neptune

Cox Automotive Powers Identity Graph with Amazon Neptune

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AWS re:Invent 2020: Deep dive on Amazon Neptune

AWS re:Invent 2020: Deep dive on Amazon Neptune

AWS re:Invent 2020: ADP’s next-generation platform powers dynamic teams with Amazon Neptune

AWS re:Invent 2020: ADP’s next-generation platform powers dynamic teams with Amazon Neptune

AWS re:Invent 2020: New capabilities to build graph apps quickly with Amazon Neptune

AWS re:Invent 2020: New capabilities to build graph apps quickly with Amazon Neptune

How to Incorporate Graph Databases in .NET Applications on AWS

How to Incorporate Graph Databases in .NET Applications on AWS

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