Скачать или смотреть Introduction to Graph Query Language on AWS Cloud with Neptune database Part2

Introduction to Lab:
In this lab session you will learn about GREMLIN, we will use AWS Neptune to cover all the concepts. The video on setting up the Neptune environment is discussed in other lab session Part1, using the air routes dataset we will learn about the graph database and all its concepts.

Neptune Database:
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, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

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