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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

Common Neo4j issues

To demonstrate some examples of common Neo4j errors, we will need to follow the steps hereunder to build the Neo4j database and set admin credentials and login information. This will then aid us in the following subsections:

  1. First, we will have to create a new empty graph database in Neo4j. You can call this whatever you like, but we will be using the database name Common Issues DB.
  2. Head to the Neo4j browser and use the :server user add command in the browser, as we have done multiple times in previous chapters.
  3. We will then add a new user and call this user admin. We will also need to set up a password for this user. Here, we will use testpython. You will have to type this password twice under Password and Confirm Password.
  4. Once we have done this, we will need to apply the admin and public roles in the Neo4j browser.
  5. For full details of all the steps, we have covered this multiple times in Chapters 5 to 8.
  6. We will also need data with...
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