Book Image

Graph Data Modeling in Python

By : Gary Hutson, Matt Jackson
Book Image

Graph Data Modeling in Python

By: Gary Hutson, Matt Jackson

Overview of this book

Graphs have become increasingly integral to powering the products and services we use in our daily lives, driving social media, online shopping recommendations, and even fraud detection. With this book, you’ll see how a good graph data model can help enhance efficiency and unlock hidden insights through complex network analysis. Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph. Following practical use cases and examples, you’ll find out how to design optimal graph models capable of supporting a wide range of queries and features. Moreover, you’ll seamlessly transition from traditional relational databases and tabular data to the dynamic world of graph data structures that allow powerful, path-based analyses. As well as learning how to manage a persistent graph database using Neo4j, you’ll also get to grips with adapting your network model to evolving data requirements. By the end of this book, you’ll be able to transform tabular data into powerful graph data models. In essence, you’ll build your knowledge from beginner to advanced-level practitioner in no time.
Table of Contents (16 chapters)
Part 1: Getting Started with Graph Data Modeling
Part 2: Making the Graph Transition
Part 3: Storing and Productionizing Graphs
Part 4: Graphing Like a Pro

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...