Summary
In this chapter, we examined cases where graph databases are advantageous, familiarized ourselves with an open source graph database called Neo4j, and learned a bit about the query language of Neo4j, called Cypher. We created, deleted, and modified records in a Neo4j movie database. We explored the advantages of querying graph databases and the unique query result visualizations possible with graph databases. If you are interested, I encourage you to consult Cypher and Neo4j resources to dive deeper into what is possible with graph databases.
In the next chapter, we’ll be putting together all of the skills we’ve learned in the book so far to tackle a real-world problem of predicting Ebola outbreak severity over time and geography across regions of the Democratic Republic of Congo.
