Lab - Data Modeling for Amazon Neptune
Offered By: Amazon Web Services via AWS Skill Builder
Course Description
Overview
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
Tags
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