June 2023
Intermediate to advanced
236 pages
6h 25m
English
Content preview from Graph Data Modeling in Python
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5
Working with Graph Databases
This chapter introduces you to in-memory graph databases. We will show you the steps of how to work with a very popular graph database, Neo4j. We will take you through the process of how to download this software to use on your own machine and explain why Python can become slow when trying to deploy your graph databases and models at scale. Following the setup phases, we will explore how to create relationships in this in-memory graph database application and then how to query them with a popular query language, Cypher.
Then, we will look at the various ways you can store information in Neo4j and use Python to interact with the application. We will take a slight detour to look at alternatives to Neo4j, such as ...
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