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Graph Data Modeling in Python

You're reading from   Graph Data Modeling in Python A practical guide to curating, analyzing, and modeling data with graphs

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Product type Paperback
Published in Jun 2023
Publisher Packt
ISBN-13 9781804618035
Length 236 pages
Edition 1st Edition
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Authors (2):
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Gary Hutson Gary Hutson
Author Profile Icon Gary Hutson
Gary Hutson
Matt Jackson Matt Jackson
Author Profile Icon Matt Jackson
Matt Jackson
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Toc

Table of Contents (16) Chapters Close

Preface 1. Part 1: Getting Started with Graph Data Modeling
2. Chapter 1: Introducing Graphs in the Real World FREE CHAPTER 3. Chapter 2: Working with Graph Data Models 4. Part 2: Making the Graph Transition
5. Chapter 3: Data Model Transformation – Relational to Graph Databases 6. Chapter 4: Building a Knowledge Graph 7. Part 3: Storing and Productionizing Graphs
8. Chapter 5: Working with Graph Databases 9. Chapter 6: Pipeline Development 10. Chapter 7: Refactoring and Evolving Schemas 11. Part 4: Graphing Like a Pro
12. Chapter 8: Perfect Projections 13. Chapter 9: Common Errors and Debugging 14. Index 15. Other Books You May Enjoy

Summary

We have covered so much in this chapter, and now you should have a good understanding of the power of in-memory databases, such as Neo4j. We started our quest for knowledge by looking at how you can set up your Neo4j instance, where we did all the configuration to install a local version of Neo4j and get up and running quickly.

Following on from this, we looked at how you can then start to perform queries against the Neo4j database, using a query language known as Cypher. For some of you, this will have been your first exposure to Cypher, and we took you through how this language is similar to other query languages, such as SQL. To get a better understanding of how to use Cypher, a good resource is the Neo4j website (https://neo4j.com/developer/cypher/).

Upping the ante, we then started to look at how you store data in your Neo4j graph database, using a combination of Cypher and Python’s cypher package, to start interacting with your graph database.

This culminated...

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