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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
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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

Part 4: Graphing Like a Pro

In this part, we explore what graph projections are and how they can be used. This will give you the rudimentary knowledge you need to extract projections to perform analysis. These projections can then be extracted for further statistical and analytical uses. You will learn all about how to do this in this chapter. In addition, you will also get an understanding of how to export your projects in igraph and Neo4j. Buckle up and let the analysis flow with the use case looking at analyzing movies with relationships such as acted in and starred with.

Finally, the section on common errors and debugging jumps into the types of errors we have encountered in our careers, and how you can easily get around and resolve these errors and bugs effectively. Let’s think of this as your reference whenever anything untoward occurs in your code.

This part has the following chapters:

  • Chapter 8, Perfect Projections
  • Chapter 9, Common Errors and Debugging...
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