Amazon Neptune is a managed graph database service provided by Amazon Web Services (AWS). It’s designed to store and process highly connected data, making it ideal for use cases involving complex relationships and networked data. Neptune supports two popular graph models: property graph and Resource Description Framework (RDF). It allows you to create and run graph queries using the Gremlin (for property graphs) and SPARQL (for RDF) query languages.
In this Cloud Lab, you’ll create a database in AWS Neptune. You will also create an IAM role that allows you to operate in a Jupyter Notebook with Amazon SageMaker (which provides an integrated Jupyter Notebook so data scientists can easily access data, analyze and extract its features, train a machine-learning model, and evaluate it, etc.) Moreover, you’ll create a Jupyter Notebook to easily query the Neptune database.
After the completion of this Cloud Lab, the provisioned infrastructure will be similar to the one shown in the figure below:
