Databases are constantly growing around real-world storage techniques and believed to be one of the complex accomplishments of engineering. Graph databases such as Neo4j are taking connected data storage to an entirely different level. However, most of us who work with Neo4j are left wondering about how it all works internally, because there is practically no documentation about the internal architecture of components. The kernel code base is not enormous and can be analyzed, but it is always good to have a guide to provide us with an understanding of the classes while abstracting the implementation details. Now that we have seen how we can use Neo4j as an efficient and secure data store for connected data, let's take a look at what lies under the hood and what goes on when you store, query, or traverse a graph data store. The way Neo4j stores data in the form of nodes and relationships inherently is intriguing and efficient, and you will get a great working knowledge...
Neo4j High Performance
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Neo4j High Performance
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Overview of this book
Table of Contents (15 chapters)
Neo4j High Performance
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started with Neo4j
Querying and Indexing in Neo4j
Efficient Data Modeling with Graphs
Neo4j for High-volume Applications
Testing and Scaling Neo4j Applications
Neo4j Internals
Administering Neo4j
Use Case – Similarity-based Recommendation System
Index
Customer Reviews