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  • Book Overview & Buying Neo4j High Performance
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Neo4j High Performance

Neo4j High Performance

By : Sonal Raj
1 (1)
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Neo4j High Performance

Neo4j High Performance

1 (1)
By: Sonal Raj
Buy this Book

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.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Getting Started with Neo4j
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1. Getting Started with Neo4j
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Graphs and their utilities
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Types of NoSQL databases
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The Neo4j graph database
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The Neo4j setup and configurations
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Configure Neo4j for Amazon clusters
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Cloud deployment with Azure
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Summary
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2. Querying and Indexing in Neo4j
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2. Querying and Indexing in Neo4j
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The Neo4j interface
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Introduction to Cypher
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Cypher graph operations
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Advanced Cypher tricks
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Gremlin – an overview
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Indexing in Neo4j
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Migration techniques for SQL users
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Useful code snippets
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Summary
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3. Efficient Data Modeling with Graphs
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3. Efficient Data Modeling with Graphs
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Data models
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Property graphs
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Design constraints in Neo4j
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Graph modeling techniques
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Schema design patterns
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Modeling across multiple domains
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Summary
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4. Neo4j for High-volume Applications
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4. Neo4j for High-volume Applications
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Graph processing
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Big data and graphs
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Processing with Hadoop or Neo4j
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Managing transactions
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The graphalgo package
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Introduction to Spring Data Neo4j
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Summary
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5. Testing and Scaling Neo4j Applications
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5. Testing and Scaling Neo4j Applications
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Testing Neo4j applications
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Unit testing
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Performance testing
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Benchmarking performance with Gatling
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Scaling Neo4j applications
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Summary
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6. Neo4j Internals
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6. Neo4j Internals
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Introduction to Neo4j internals
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Working of your code
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Storage for properties
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Caching internals
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Cache types
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Transactions
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High availability
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Summary
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7. Administering Neo4j
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7. Administering Neo4j
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Interfacing with the tools and frameworks
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Admin tricks
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Memory mapped I/O configuration
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Neo4j server logging
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Neo4j server security
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Summary
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8. Use Case – Similarity-based Recommendation System
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8. Use Case – Similarity-based Recommendation System
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The why and how of recommendations
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Building a recommendation system
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Recommendations on map data
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Visualization of graphs
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Summary
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Index
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Index

Graph modeling techniques

Graph databases including Neo4j are versatile pieces of software that can be used to model and store almost any form of data including ones that would be traditionally stored in RDBMS or document databases. Neo4j in particular is designed to have capabilities as a high-performance store for day-to-day transactional data as well as being usable for some level of analytics. Almost all domains including social, medical, and finance bring up problems that can easily be handled by modeling data in the form of graphs.

Aggregation in graphs

Aggregation is the process in which we can model trees or any other arbitrary graph structures with the help of denormalization into a single record or document entity.

  • The maximum efficiency in this technique is achieved when the tree to be aggregated is to be accessed in a single read (for example, a complete hierarchy of comments of a post is to be read when the page with the post is loaded)
  • Random accesses to the entries or searching...
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