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Best Neo4j Books to Master the Technology

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1. Learning Neo4j 3.x – Second Edition: Effective data modeling, performance tuning and data visualization techniques in Neo4j (2017)

Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

About This Book

  • Get acquainted with graph database systems and apply them in real-world use cases
  • Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex data sets.
  • A practical guide filled with ready to use examples on querying, graph processing and visualizing information to build smarter spatial applications.

Who This Book Is For

This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.

What You Will Learn

  • Understand the science of graph theory, databases and its advantages over traditional databases.
  • Install Neo4j, model data and learn the most common practices of traversing data
  • Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data
  • Improve graph techniques with the help of precise procedures in the APOC library
  • Use Neo4j advanced extensions and plugins for performance optimization.
  • Understand how Neo4j’s new security features and clustering architecture are used for large scale deployments.

In Detail

Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database 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. Furthermore, you’ll also learn to create awesome procedures using APOC and extend Neo4j’s functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data.

Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you’ll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.

Style and approach

A step-by-step approach of adopting Neo4j, the world’s leading graph database. 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 fit

Author(s): Jerome Baton, Rik Van Bruggen

2. Neo4j in Action (2014)

Summary

Neo4j in Action is a comprehensive guide to Neo4j, aimed at application developers and software architects. Using hands-on examples, you’ll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Much of the data today is highly connected—from social networks to supply chains to software dependency management—and more connections are continually being uncovered. Neo4j is an ideal graph database tool for highly connected data. It is mature, production-ready, and unique in enabling developers to simply and efficiently model and query connected data.

About the Book

Neo4j in Action is a comprehensive guide to designing, implementing, and querying graph data using Neo4j. Using hands-on examples, you’ll learn to model graph domains naturally with Neo4j graph structures. The book explores the full power of native Java APIs for graph data manipulation and querying. It also covers Cypher, Neo4j’s graph query language. Along the way, you’ll learn how to integrate Neo4j into your domain-driven app using Spring Data Neo4j, as well as how to use Neo4j in standalone server or embedded modes.

Knowledge of Java basics is required. No prior experience with graph data or Neo4j is assumed.

What’s Inside

  • Graph database patterns
  • How to model data in social networks
  • How to use Neo4j in your Java applications
  • How to configure and set up Neo4j

About the Authors

Aleksa Vukotic is an architect specializing in graph data models. Nicki Watt, Dominic Fox, Tareq Abedrabbo, and Jonas Partner work at OpenCredo, a Neo Technology partner, and have been involved in many projects using Neo4j.

Table of Contents

    PART 1 INTRODUCTION TO NEO4J
  1. A case for a Neo4j database
  2. Data modeling in Neo4j
  3. Starting development with Neo4j
  4. The power of traversals
  5. Indexing the data
  6. PART 2 APPLICATION DEVELOPMENT WITH NEO4J
  7. Cypher: Neo4j query language
  8. Transactions
  9. Traversals in depth
  10. Spring Data Neo4j
  11. PART 3 NEO4J IN PRODUCTION
  12. Neo4j: embedded versus server mode

Author(s): Aleksa Vukotic, Nicki Watt

3. Neo4j Cookbook (2015)

Harness the power of Neo4j to perform complex data analysis over the course of 75 easy-to-follow recipes

About This Book

  • Rapidly build your data analysis application over Neo4j with ease
  • Transition from RDMS and other NoSQL databases to Neo4j
  • Learn to effectively scale your Neo4j installations to millions of nodes

Who This Book Is For

If you are already using Neo4j in your application and want to learn more about data analysis or database graphs, this is the book for you. This book also caters for your needs if you are looking to migrate your existing application to Neo4j in the future. We assume that you are already familiar with any general purpose programming language and have some familiarity with Neo4j.

What You Will Learn

  • Access the Neo4j graph database from any language of your choice, whether it is Java, Python, Scala, or .Net
  • Understand how to migrate data from different types of data stores such as SQL and NoSQL with ease
  • Utilize and learn data modeling best practices
  • Use and mine social data, whether it be from Facebook, Twitter, or LinkedIn
  • Deal with geospatial data and build services such as bounding box queries and nearest point of interest
  • Visualize Neo4j graphs by customizing available tools or writing your own tool
  • Scale Neo4j with up to billions of nodes and edges

In Detail

Neo4j is an open source graph database written in Java. Graph databases provide an excellent way to get richer insight into data and lower the bar for entry into the data science world. Starting with a practical and vital introduction to Neo4j and various aspects of Neo4j installation, you will learn how to connect and access Neo4j servers from programming languages such as Java, Python, Ruby, and Scala. You will also learn about Neo4j administration and maintenance before expanding and advancing your knowledge by dealing with large Neo4j installations and optimizing them for both storage and querying.

This is a practical guide full of examples and Neo4j recipes. The recipes are well explained with code samples that are updated for the latest version of Neo4j.

Author(s): Ankur Goel

4. Neo4j Graph Data Modeling (2015)

Design efficient and flexible databases by optimizing the power of Neo4j

About This Book

  • Model your data as a graph using Neo4j to design databases with minimum hassle
  • Discover new patterns using graphs and solve problems that are difficult to solve using any other database
  • Step-by-step guide to designing a graph model with pitfalls and design choices

Who This Book Is For

If you are a developer who wants to understand the fundamentals of modeling data in Neo4j and how it can be used to model full-fledged applications, then this book is for you. Some understanding of domain modeling may be advantageous but is not essential.

What You Will Learn

  • Translate a problem domain from a whiteboard to your database
  • Make design decisions based on the nature of data and how it is going to be used
  • Use Cypher to create and query data
  • Evolve your database in stages
  • Optimize the performance of your application with data design
  • Design paradigms to ensure flexibility, ease of querying, and performance
  • Move from an existing model to a new model without losing consistency

In Detail

Neo4j is a graph database that allows you to model your data as a graph and find solutions to complex real-world problems that are difficult to solve using any other type of database.

This book is designed to help you understand the intricacies of modeling a graph for any domain.

The book starts with an example of a graph problem and then introduces you to modeling non-graph problems using Neo4j. Concepts such as the evolution of your database, chains, access control, and recommendations are addressed, along with examples and are modeled in a graph. Throughout the book, you will discover design choices and trade-offs, and understand how and when to use them. By the end of the book, you will be able to effectively use Neo4j to model your database for efficiency and flexibility.

Author(s): Mahesh Lal

5. Introduction to Graph Theory (Dover Books on Mathematics) (1994)

A stimulating excursion into pure mathematics aimed at “the mathematically traumatized,” but great fun for mathematical hobbyists and serious mathematicians as well. Requiring only high school algebra as mathematical background, the book leads the reader from simple graphs through planar graphs, Euler’s formula, Platonic graphs, coloring, the genus of a graph, Euler walks, Hamilton walks, and a discussion of The Seven Bridges of Konigsberg. Exercises are included at the end of each chapter. “The topics are so well motivated, the exposition so lucid and delightful, that the book’s appeal should be virtually universal . . . Every library should have several copies” — Choice. 1976 edition.

Author(s): Richard J. Trudeau

6. Graph Databases: New Opportunities for Connected Data (2015)

Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains. Whether you want to speed up your response to user queries or build a database that can adapt as your business evolves, this book shows you how to apply the schema-free graph model to real-world problems.

This second edition includes new code samples and diagrams, using the latest Neo4j syntax, as well as information on new functionality. Learn how different organizations are using graph databases to outperform their competitors. With this book’s data modeling, query, and code examples, you’ll quickly be able to implement your own solution.

  • Model data with the Cypher query language and property graph model
  • Learn best practices and common pitfalls when modeling with graphs
  • Plan and implement a graph database solution in test-driven fashion
  • Explore real-world examples to learn how and why organizations use a graph database
  • Understand common patterns and components of graph database architecture
  • Use analytical techniques and algorithms to mine graph database information

Author(s): Ian Robinson, Jim Webber

7. Neo4j Essentials (2015)

Leverage the power of Neo4j to design, implement, and deliver top-notch projects

About This Book

  • Understand, in detail, the Pattern matching theory, and cypher optimization
  • Use Neo4j models combined with the power of Cypher to sketch and start working quickly
  • A fast-paced, example-oriented guide to help you integrate Neo4j in standard Java applications

Who This Book Is For

If you are an application developer or software architect who wants to dive into the Cypher language and learn the concepts of graph theory and graph-based data models, this is the book for you. Prior experience with a graph-based or NoSQL-based database is expected. Some knowledge of Java will be beneficial, as this will give you more insights into Neo4j’s extensibility.

What You Will Learn

  • Install Neo4j as an embedded database or a server in minutes
  • Import data into Neo4j from various data sources such as CSV and Excel using efficient batch import processes
  • Model complex interactions and query Neo4j with its top-notch query language, Cypher
  • Integrate Neo4j in your Java applications, using Neo4j APIs
  • Leverage the mapping power of Spring Data Neo4j in your Java applications
  • Write your own Neo4j extensions
  • Deploy Neo4j within your infrastructure in minutes

In Detail

With a rise in the popularity of NoSQL databases, Neo4j provides a viable alternative for storage, processing, and querying highly connected data natively in the form of graphs. It saves you the trouble of tabular data formats and join operations while providing a fast querying language called Cypher, which is declarative and works on the principle of pattern matching. It is an open source database and has been tailored to be integrated into a wide variety of scenarios, platforms, and tools.

This book will guide you from the phase where you have to choose the appropriate license towards the deployment phase, instilling good design practices along the way. It will cover every required phase needed by a successful project. Using a fictitious project as a case study, you will learn the various implementation details and concepts of Neo4j that will help you develop your use cases quickly.

Author(s): Sumit Gupta

8. NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software (2016)

How do we design for data when traditional design techniques cannot extend to new database technologies? In this era of big data and the Internet of Things, it is essential that we have the tools we need to understand the data coming to us faster than ever before, and to design databases and data processing systems that can adapt easily to ever-changing data schemas and ever-changing business requirements. There must be no intellectual disconnect between data and the software that manages it. It must be possible to extract meaning and knowledge from data to drive artificial intelligence applications. Novel NoSQL data organization techniques must be used side-by-side with traditional SQL databases. Are existing data modeling techniques ready for all of this? The Concept and Object Modeling Notation (COMN) is able to cover the full spectrum of analysis and design. A single COMN model can represent the objects and concepts in the problem space, logical data design, and concrete NoSQL and SQL document, key-value, columnar, and relational database implementations. COMN models enable an unprecedented level of traceability of requirements to implementation. COMN models can also represent the static structure of software and the predicates that represent the patterns of meaning in databases. This book will teach you:

  • the simple and familiar graphical notation of COMN with its three basic shapes and four line styles
  • how to think about objects, concepts, types, and classes in the real world, using the ordinary meanings of English words that aren’t tangled with confused techno-speak
  • how to express logical data designs that are freer from implementation considerations than is possible in any other notation
  • how to understand key-value, document, columnar, and table-oriented database designs in logical and physical terms
  • how to use COMN to specify physical database implementations in any NoSQL or SQL database with the precision necessary for model-driven development

“I believe that this is a breakthrough modeling technique – and it is technique, not just notation. COMN provides notation to handle all of the constructs that E-R techniques don’t do well, and it steps up to the problem of linking physical and conceptual models. . . . I’m convinced that COMN is the future of data modeling.”
Dave Wells, BI and Analytics Educator and Consultant, Infocentric

Author(s): Ted Hills

9. Building Web Applications with Python and Neo4j (2015)

Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django

About This Book

  • Develop a set of common applications and solutions with Neo4j and Python
  • Secure and deploy the Neo4j database in production
  • A step-by-step guide on implementing and deploying interactive Python-based web applications on graph data model

Who This Book Is For

If you are a Python developer and want to expand your understanding of Python-based web applications over Neo4j graph data models, this is the book for you.

What You Will Learn

  • Understand the licensing and installation of the Neo4j database and work with its various tools and utilities
  • Learn the intricacies of Cypher as a graph query language
  • Work with Cypher to create and modify graph data models
  • Integrate Python and Neo4j using Py2neo
  • Develop REST-based services over social network data using Flask and object graph models over Neo4j
  • Integrate Django-based web applications over graph data models using Neomodel
  • Explore different deployment models and their applicability with existing applications

In Detail

Py2neo is a simple and pragmatic Python library that provides access to the popular graph database Neo4j via its RESTful web service interface. This brings with it a heavily refactored core, a cleaner API, better performance, and some new idioms.

You will begin with licensing and installing Neo4j, learning the fundamentals of Cypher as a graph query language, and exploring Cypher optimizations. You will discover how to integrate with various Python frameworks such as Flask and its extensions: Py2neo, Neomodel, and Django. Finally, the deployment aspects of your Python-based Neo4j applications in a production environment is also covered. By sequentially working through the steps in each chapter, you will quickly learn and master the various implementation details and integrations of Python and Neo4j, helping you to develop your use cases more quickly.

Author(s): Sumit Gupta

10. Neo4j High Performance (2015)

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.

What You Will Learn

  • Understand the fundamentals of graphs, NoSQL databases, and graph databases
  • Query Neo4j using Cypher, and optimize your data model and queries to improve Cypher’s performance
  • Migrate from existing SQL stores and data import/export techniques
  • Explore the data modeling concepts and techniques associated with graph data in Neo4j
  • Develop applications with Neo4j to handle high volumes of data
  • Define how to develop an efficient architecture and transactions in a scalable way
  • Study the in-built graph algorithms for better traversals and discover Spring-Data-Neo4j
  • Look under the hood of Neo4j, covering concepts from the core classes in the source to the internal storage structure, caching, transactions, and related operations

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.

Author(s): Sonal Raj

11. Learning Neo4j (2014)

Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database

About This Book

  • Get acquainted with graph database systems and apply them in real-world use cases
  • Get started with Neo4j, a unique NOSQL database system that focuses on tackling data complexity
  • A practical guide filled with sample queries, installation procedures, and useful pointers to other information sources

Who This Book Is For

This book is for developers who want an alternative way to store and process data within their applications. No previous graph database experience is required; however, some basic database knowledge will help you understand the concepts more easily.

What You Will Learn

  • Background and specifications of graph databases
  • Install Neo4j on a variety of different platforms, locally and in the cloud
  • Model data for a graph database such as Neo4j
  • Import data into Neo4j
  • Learn about sample use cases for Neo4j
  • Discover the advantages of graph databases versus other database models
  • Find out where you can find additional information on Neo4j

In Detail

Learning Neo4j provides you with a step-by-step approach of adopting Neo4j, the world’s leading graph database. 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 fit.

Starting with a brief introduction to graph theory, this book will show you the advantages of using graph databases. Following on from that, you will be introduced to Neo4j and you will be shown how to install Neo4j on various operating systems. You will then be shown how you can model and import your data into Neo4j.

This book has two use case examples that will show you how to model and implement a graph in Neo4j by analyzing a user case, and analyze the impact a change has on a process or a system. You will also gain an insight into graph visualization options for Neo4j and discover external sources where you can learn more about Neo4j.

Author(s): Rik Van Bruggen

12. Practical Neo4j (2014)

Why have developers at places like Facebook and Twitter increasingly turned to graph databases to manage their highly connected big data? The short answer is that graphs offer superior speed and flexibility to get the job done.

It’s time you added skills in graph databases to your toolkit. In Practical Neo4j, database expert Greg Jordan guides you through the background and basics of graph databases and gets you quickly up and running with Neo4j, the most prominent graph database on the market today. Jordan walks you through the data modeling stages for projects such as social networks, recommendation engines, and geo-based applications. The book also dives into the configuration steps as well as the language options used to create your Neo4j-backed applications.

Neo4j runs some of the largest connected datasets in the world, and developing with it offers you a fast, proven NoSQL database option. Besides those working for social media, database, and networking companies of all sizes, academics and researchers will find Neo4j a powerful research tool that can help connect large sets of diverse data and provide insights that would otherwise remain hidden. Using Practical Neo4j, you will learn how to harness that power and create elegant solutions that address complex data problems. This book:

  • Explains the basics of graph databases
  • Demonstrates how to configure and maintain Neo4j
  • Shows how to import data into Neo4j from a variety of sources
  • Provides a working example of a Neo4j-based application using an array of language of options including Java, .Net, PHP, Python, Spring, and Ruby

As you’ll discover, Neo4j offers a blend of simplicity and speed while allowing data relationships to maintain first-class status. That’s one reason among many that such a wide range of industries and fields have turned to graph databases to analyze deep, dense relationships. After reading this book, you’ll have a potent, elegant tool you can use to develop projects profitably and improve your career options.

Author(s): Gregory Jordan

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