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Neo4j High Performance

By : Sonal Raj

1 (1)

Neo4j High Performance

1 (1)

By: Sonal Raj

Overview of this book

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.

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Conventions

Reader feedback

Customer support

Free Chapter

1. Getting Started with Neo4j

1. Getting Started with Neo4j

Graphs and their utilities

Types of NoSQL databases

The Neo4j graph database

The Neo4j setup and configurations

Configure Neo4j for Amazon clusters

Cloud deployment with Azure

Summary

2. Querying and Indexing in Neo4j

2. Querying and Indexing in Neo4j

The Neo4j interface

Introduction to Cypher

Cypher graph operations

Advanced Cypher tricks

Gremlin – an overview

Indexing in Neo4j

Migration techniques for SQL users

Useful code snippets

Summary

3. Efficient Data Modeling with Graphs

3. Efficient Data Modeling with Graphs

Data models

Property graphs

Design constraints in Neo4j

Graph modeling techniques

Schema design patterns

Modeling across multiple domains

Summary

4. Neo4j for High-volume Applications

4. Neo4j for High-volume Applications

Graph processing

Big data and graphs

Processing with Hadoop or Neo4j

Managing transactions

The graphalgo package

Introduction to Spring Data Neo4j

Summary

5. Testing and Scaling Neo4j Applications

5. Testing and Scaling Neo4j Applications

Testing Neo4j applications

Unit testing

Performance testing

Benchmarking performance with Gatling

Scaling Neo4j applications

Summary

6. Neo4j Internals

6. Neo4j Internals

Introduction to Neo4j internals

Working of your code

Storage for properties

Caching internals

Cache types

Transactions

High availability

Summary

7. Administering Neo4j

7. Administering Neo4j

Interfacing with the tools and frameworks

Admin tricks

Memory mapped I/O configuration

Neo4j server logging

Neo4j server security

Summary

8. Use Case – Similarity-based Recommendation System

8. Use Case – Similarity-based Recommendation System

The why and how of recommendations

Building a recommendation system

Recommendations on map data

Visualization of graphs

Summary

Index

Index

Summary

In this chapter, we have seen how Neo4j, as a graph database, is the best available option for creating recommendation systems based on similarity. This takes advantage of the pattern matching nature of the Cypher query language. We also looked at a social network recommender example, and also discussed how to incorporate map data into the generated suggestions. Finally, we saw the importance of data visualization and the major tools available for this objective. Thus, this book not only brings to you the in-depth study and administration of the Neo4j database, but also leaves you with one of the critical and widely popular use cases in the industry today.

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Tech Concepts

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Programming languages

73

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