Neo4j High Performance Front Cover

Neo4j High Performance

  • Length: 154 pages
  • Edition: 1
  • Publisher:
  • Publication Date: 2015-02-27
  • ISBN-10: 1783555157
  • ISBN-13: 9781783555154
  • Sales Rank: #3521574 (See Top 100 Books)

Design, build, and administer scalable graph database systems for your applications using Neo4j

About This Book

  • Explore the numerous components that provide abstractions for pretty much any functionality you need from your persistent graphs
  • Familiarize yourself with how to test the GraphAware framework, along with working in High Availability mode
  • Get an insight into the internal working of Neo4j and learn about some useful tools, administrative configurations, and security tweaks built for it

Who This Book Is For

If you are a professional or enthusiast who has a basic understanding of graphs or has basic knowledge of Neo4j operations, this is the book for you. Although it is targeted at an advanced user base, this book can be used by beginners as it touches upon the basics. So, if you are passionate about taming complex data with the help of graphs and building high performance applications, you will be able to get valuable insights from this book.

In Detail

This book provides an insight into working with Neo4j; deployment, configuration, and optimization of the data models; and utilizing storage for better performance.

This book covers all aspects related to working with Neo4j, including querying, indexing, modeling of graph data, testing, and deployment of your Neo4j applications, and also shows you the internal features of the Neo4j graph database. With a sample demonstration and outline of community developed tools, this book will help you develop cutting-edge, high performance, and secure applications for complex data using the Neo4j graph database.

Table of Contents

Chapter 1. Getting Started with Neo4j
Chapter 2. Querying and Indexing in Neo4j
Chapter 3. Efficient Data Modeling with Graphs
Chapter 4. Neo4j for High-volume Applications
Chapter 5. Testing and Scaling Neo4j Applications
Chapter 6. Neo4j Internals
Chapter 7. Administering Neo4j
Chapter 8. Use Case – Similarity-based Recommendation System

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