Deep Dive on Amazon Neptune


Deep Dive on Amazon Neptune

Broadcast Date:
January 22, 2018

Level 200 | What's New / Cloud Innovation
Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. In this session, we will do a deep dive into capabilities, performance and key innovations in Amazon Neptune. You will learn about different use cases for highly connected data, different types of graph models and how to query them, Neptune's enterprise features, and how to get started.

Learning Objectives:
• Understand how to use a graph model and query languages to build applications over highly connected data
• Understand how the features of Amazon Neptune enable you to build production ready graph applications
• Learn how to get started

Suited For: Developers

Speaker(s): Brad Bebee, Principal Prod Mgmt, AWS

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