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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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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

Debugging graph issues

With graph data models and analysis being more readily employed in industry, and graph database solutions and software gaining popularity, it is likely that you will be exposed to data problems that can be solved in a graphical way. At the same time, graph solutions are still fairly new to many businesses, and you will almost certainly run into errors and issues as a graph data practitioner.

Here, we will cover some of the most common problems you are likely to encounter when using the igraph Python library, as well as some standard errors and issues you may see when using Neo4j. Each issue will be demonstrated with a short example, as an aid in debugging your own issues.

Each error or problem will be shown alongside a real example you can follow along with and resolve. We will need some data with which to demonstrate some issues you may encounter when using Neo4j and Cypher.

For this chapter, our examples will use social network data collected from...

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