In this lab you learn to model your source data from relational databases and document stores to Amazon Neptune in order to meet this business need. You will use a sample customer order database to build a product recommendation system which is used to send real-time product recommendations as customers are browsing the products portal.
Objectives
By the end of this lab you should be able to do the following:
- Model source data from relational databases into vertices and edges.
- Extract embedded entities from source data.
- Use additional datasets to support new use cases or to improve the quality of results.
Prerequisites
   •   A functional understanding of relational databases, Database structures and data query language
   •   A basic competency with the AWS Management Console
Outline
Task 1: Setup Neptune utilities
Task 2: Store Rows as vertices ( Customers, Orders, Products, Product Packages )
Task 3: Store relationships as edges
Task 4: Extract embedded entities and identify households
Task 5: Use additional data sources to improve recommendations
