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Amazon Web Services

Lab - Data Modeling for Amazon Neptune

Amazon Web Services and Amazon via AWS Skill Builder

Overview

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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

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