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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 FREE CHAPTER

2. Modeling Flights and Cities

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 3. Formulating an Itinerary

In the previous chapter, you learned to visualize a domain as a graph and how to feed it into Neo4j using Cypher. This chapter will revolve around using that data to get the desired information. This can be done using Cypher to query the graph and return the desired data. You will learn the following:

Querying using Cypher for variable length relationships
Using functions to extract data from a collection of nodes
What operations are suited for Cypher

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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