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Neo4j Graph Database: 2nd Edition
Neo4j is an open source NoSQL graph database. It is a fully transactional database (ACID) that stores data structured as graphs consisting of nodes, connected by relationships. Inspired by the structure of the real world, it allows for high query performance on complex data, while remaining intuitive and simple for the developer.
Using this book, you'll get to learn the theory of graph database and how to use Neo4j to build up recommendations, relationships, and calculate the shortest route between two locations. With example data models, best practices, use-cases, and an application putting everything together, this book will give you everything you need to really get started with Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language.
This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great interest.
Using this book, you'll get to learn the theory of graph database and how to use Neo4j to build up recommendations, relationships, and calculate the shortest route between two locations. With example data models, best practices, use-cases, and an application putting everything together, this book will give you everything you need to really get started with Neo4j. Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language.
This book includes a lot of background information, helps you grasp the fundamental concepts behind this radical new way of dealing with connected data, and will give you lots of examples of use cases and environments where a graph database would be a great interest.
101 pages, Paperback
Published July 24, 2022
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