K Lal Neo4j Graph Data Modelling

Design efficient and flexible databases by optimizing the power of Neo4j
1. Auflage 2025
ISBN: 978-1-78439-730-2
Verlag: De Gruyter
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 138 Seiten

Key FeaturesBook DescriptionIf you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.What you will learn - Translate a problem domain from a whiteboard to your database
- Make design decisions based on the nature of data and how it is going to be used
- Use Cypher to create and query data
- Evolve your database in stages
- Optimize the performance of your application with data design
- Design paradigms to ensure flexibility, ease of querying, and performance
- Move from an existing model to a new model without losing consistency
Who this book is forIf you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.

Autoren/Hrsg.

K Lal, Mahesh

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

K Lal Mahesh :

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.