Summary

Importing existing data into a brand-new database is always a concern, as we covered in this chapter. From a flat (a non-graph format) file, you can identify node labels and relationship types between them, transforming a flat dataset into a real graph. Whether your data is stored as CSV, JSON, on your local disk or distant server, or via an API endpoint, you can now load this data into Neo4j and start exploring your graph. You also learned about the Neo4 Data Importer tool, which is used to import data stored as CSV files in a cloud-hosted Neo4j database (Aura).

You also learned about public knowledge graphs, such as Wikidata, which can be used to extend your knowledge by importing more data about a specific topic.

Finally, you learned how to import your data into the cloud thanks to the Neo4j Data Importer application.

Being able to create a graph dataset is only the beginning, though. Like any dataset, graph datasets are very different from one to another. While...