Chapter 6: Building a Comprehensive Knowledge Graph

In the previous chapter, we learned a lot about different graph database systems, with a special focus on Neo4j Desktop. We covered the basic object types of graph databases and how to create and retrieve them. As a part of leveraging our home-field advantage, we can gather external and internal metadata about systems to build out a view of the home field upfront to benefit a large number of teams across the organization. Now we will continue exploring the idea of modeling the home field by walking through practical examples of how to import and model a wide range of data sources into a graph database and how to query and traverse the graph to answer interesting questions. This will include a brief detour on how to query information from an AWS account and how to export data using the AWS CLI tool.

To do that, we will work on a fictional Shadow Bunny corporation and learn methods to map out assets the organization is leveraging...