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Neo4j Graph Data Modelling

You're reading from Neo4j Graph Data Modelling Design efficient and flexible databases by optimizing the power of Neo4j

Product type Paperback

Published in Jul 2015

Publisher

ISBN-13 9781784393441

Length 138 pages

Edition 1st Edition

Tools

Neo4j

Concepts

Databases

Author (1):

Mahesh K Lal

View More author details

Table of Contents (11) Chapters

Preface

1. Graphs Are Everywhere

2. Modeling Flights and Cities FREE CHAPTER

3. Formulating an Itinerary

4. Modeling Bookings and Users

5. Refactoring the Data Model

6. Modeling Communication Chains

7. Modeling Access Control

8. Recommendations and Analysis of Historical Data

9. Wrapping Up

Index

Chapter 4. Modeling Bookings and Users

In the previous chapters, you learned how to model flights, reviews, comments, and users. We used a graph to find routes between two cities. However, we limited ourselves to problems that naturally fit into a graph, that is, routing. In this chapter, we will explore how graphs can be used to solve problems that are dominantly solved using RDBMS, for example, bookings.

We will discuss the following topics in this chapter:

Modeling bookings in an RDBMS
Modeling bookings in a graph
Adding bookings to graphs
Using Cypher to find bookings and journeys

The rest of the chapter is locked

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Authors (1)

Mahesh K Lal

Mahesh K Lal

Mahesh Lal is a developer who has experience with various technologies. In 2011, while working on a social network for a client, he discovered the power of graphs, specifically Neo4j. Since then, he has been working with multiple clients across various domains for modeling their data as a graph. Currently working for ThoughtWorks, India, he is trying to help his clients look at their search problems in the form of a graph.

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