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Neo4j Graph Data Modelling

Book Image

Neo4j Graph Data Modelling

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Neo4j Graph Data Modelling
Jul, 2015 | 138 pages
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Table of Contents (16 chapters)
Neo4j Graph Data Modeling
Neo4j Graph Data Modeling
Credits
Credits
About the Author
About the Author
About the Reviewers
About the Reviewers
www.PacktPub.com
www.PacktPub.com
Preface
Preface
Free Chapter
1
Graphs Are Everywhere
Graphs Are Everywhere
Graphs in mathematics
The property graph model
Storage – native graph storage versus non-native graph storage
Reasons to use graph databases
What to use a graph database for
Choosing Neo4j for exploring graph databases
The structure of the book
Summary
2
Modeling Flights and Cities
Modeling Flights and Cities
Graphs are more than social
Designing a system to get a travel itinerary
Introduction to modeling nodes and relationships
Using Cypher to operate on Neo4j
Creating cities in Neo4j
Indices
Adding flights to Neo4j
Traversing relationships
Summary
3
Formulating an Itinerary
Formulating an Itinerary
Creating an itinerary from flights and cities
Business logic should lie in code
Summary
4
Modeling Bookings and Users
Modeling Bookings and Users
Building a data model for booking flights
A simple model of the bookings ecosystem
Modeling bookings in an RDBMS
Creating bookings and users in Neo4j
Queries to find journeys and bookings
Queries to find the booking history of a user
Summary
5
Refactoring the Data Model
Refactoring the Data Model
Capturing information about hotels at airports
Modeling airports and hotels
Extracting airport information from flights
Reasons for not migrating using a single query
Adding hotels to airports
Fetching hotels
Summary
6
Modeling Communication Chains
Modeling Communication Chains
Capturing traveler reviews for hotels
A model for reviews and comments
Adding reviews to Neo4j
Adding comments to Neo4j
Summary
7
Modeling Access Control
Modeling Access Control
Controlling access for content change
Modeling hierarchies
Modeling access control groups and employees
Querying the data model to find what is accessible to an employee
Summary
8
Recommendations and Analysis of Historical Data
Recommendations and Analysis of Historical Data
Recommending cities to travelers
Recommending hotels to travelers
Analysis of the historical data
Summary
9
Wrapping Up
Wrapping Up
There is no correct model
Further reading and exploration
What to watch out for while using Neo4j
Index
Index

About the Author

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.

I would like to thank my reviewers, Daniel Vaughan, Sonal Raj, and Patrick Baumgartner, for giving me valuable feedback. I am grateful to Jim Webber and Pramod Sadalge for guiding me through this journey. I am indebted to my colleagues at ThoughtWorks for believing in me. Finally, I'd like to thank my family, who always inspire me to improve.

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