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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

This was a pivotal chapter if you want to really expand and extend the skill sets you have learned throughout this book and start putting them into practice. Prior to this chapter, we focused on graph pipelines. This extends the knowledge and insights you have gained further by looking at the importance of having a flexible and responsive schema to change.

Stemming from the tools you have been equipped with for schema change, we looked at what this means for your existing schema and what you need to know to build an adaptive schema. Furthermore, we looked at the reason for refactoring schemas, focusing on why you may need to refactor such as because of graph database relationships and the various changes that need to be considered when building your initial schema design.

Following the initial concepts of schema design, we then moved on to looking at how to effectively evolve your schema in production.

This focused on a use case of adding additional Twitter Circles...

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