Free Book: Graph Databases For Dummies
By Dr. Jim Webber and Rik Van Bruggen
Publisher: Wiley
Graph Databases For Dummies, Neo4j Special Edition, is a great place to start your journey with graph databases. This book assumes no previous experience with graph databases and walks you through modeling, querying, and importing graph data, all the way through to your first production system. For enthusiasts, this book may not be the only book you ever need on graph databases, but it’s a great place to start.
Free Book: Graph Algorithms: Practical Examples in Apache Spark and Neo4j
By Mark Needham and Amy E. Hodler
Publisher: O'Reilly Media
Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value – from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. We walk you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j. We include sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality and community detection.
Fullstack GraphQL Applications with GRANDStack – Essential Excerpts
By William Lyon
Publisher: Manning
Interested in building fullstack applications with GraphQL? Fullstack GraphQL Applications with GRANDStack – Essential Excerpts will teach you how GraphQL, React, Apollo and Neo4j graph databases are used together to build complex, data-intensive fullstack applications. Will Lyon, the author and a Developer Relations Engineer at Neo4j, discusses how to implement a server-side GraphQL API backed by the Neo4j graph database.
Graph-Powered Machine Learning (excerpt)
By Alessandro Negro
Publisher: Manning
Modern machine learning demands new approaches. A powerful ML workflow is more than picking the right algorithms. You also need the right tools, technology, datasets and model to brew your secret ingredient: context. This book explores the new way of looking at machine learning – through the lens of graph technology. In particular, this excerpt takes a closer look at how graph-powered ML can be used to build hybrid, real-time recommendation engines.
Free Book: Graph Databases 2nd Edition
By Ian Robinson, Jim Webber, and Emil Eifrém
Publisher: O'Reilly Media
Graph Databases, published by O’Reilly Media, discusses the problems that are well aligned with graph databases, with examples drawn from practical, real-world use cases. This book also looks at the ecosystem of complementary technologies, highlighting what differentiates graph databases from other database technologies, both relational and NOSQL.
Learning Neo4j 3.x – Second Edition
By Jérôme Baton, Rik Van Bruggen
Publisher: Packt
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… Read more →
Neo4j 2.0 – Eine Graphdatenbank für alle
By Michael Hunger
Publisher: Entwickler Press
Der Mehrwert von Informationen steckt nicht notwendigerweise in der reinen Menge von Daten, sondern vor allem in den Beziehungen zwischen Elementen. Bisher war es nicht so einfach, die interessanten, vernetzten Domänen verlustlos in einer Datenbank zu speichern und effizient abzufragen. Neo4j, besonders… Read more →
Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4j
By Thomas Frisendal
Publisher: Apress
Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book. In it you will see simple guidelines based on lessons learned from real-life data discovery and unification,… Read more →
Beginning Neo4j
This book is your introduction in the world of graph databases, and the benefits they can bring to your applications. Neo4j is the most established graph database on the market, and it’s always improving to bring more of its benefits to you.
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Building Web Applications with Python and Neo4j
Develop exciting real-world Python-based web applications with Neo4j using frameworks such as Flask, Py2neo, and Django
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Connected
Renowned scientists Christakis and Fowler present compelling evidence for our profound influence on one another’s tastes, health, wealth, happiness, beliefs, even weight, as they explain how social networks form and how they operate.
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Good Relationships
This guide introduces you to Spring Data Neo4j, using the fast, powerful and scalable graph database Neo4j to enjoy the benefits of having good relationships in your data.
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Graph Data Modeling for NoSQL and SQL
Master a graph data modeling technique superior to traditional data modeling for both relational and NoSQL databases (graph, document, key-value, and column), leveraging cognitive psychology to improve big data designs.
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Graph Databases (Chinese Version)
本书系统地介绍了图数据库的历史由来、建模方法、工作原理和一些真实的用户用例，详细地说明了图数据解决的是什么样的问题，并以Neo4j数据库和Cypher查询语言为例，阐述了图数据库的建模方法和领域用例，还介绍了图数据库的工作原理以及一些实用的图论算法。
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Graph Databases (Japanese Version)
SNSの普及や相互依存性の高いデータの増加に伴い、従来型のリレーショナルデータモデルの処理効率の問題を解決するために登場し、近年使われるようになったのが、「グラフデータモデル」です。
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Learning Cypher
Learning Cypher is a practical, hands-on guide to designing, implementing, and querying a Neo4j database quickly and painlessly. Through a number of practical examples, this book uncovers all the behaviors that will help you to take advantage of Neo4j effectively.
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Learning Neo4j
Learning Neo4j provides you with a step-by-step approach of adopting Neo4j, the world’s leading graph database.
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Neo4j – A Graph Project Story
How to set up a real life project based on Neo4j, from the proof of concept to an operating production-grade graph database.
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Neo4j : II. Déploiement
Ce livre est écrit sous la forme d’un dialogue entre les différents membres d’une équipe technique spécialisée dans la manipulation de données fortement connectées.
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Neo4j 3.x (Chinese Version)
本书深入介绍图论和图数据库、Neo4j数据模型、Cypher入门、APOC和Cypher扩展、查询性能优化、Neo4j数据导入、Neo4j可视化、Neo4j数据重构、集群等内容，通过两大案例（推荐系统和影响分析与模拟）的讲解，使你获得图数据建模与设计的技能。
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Neo4j Cookbook
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.
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Neo4j Des données et des graphes – Prise en main (2e édition)
Découvrez, comprenez et testez Neo4j, le système de bases de données orientées graphe le plus utilisé dans le monde, avec ce premier volume de l’ouvrage Neo4j : Des données et des graphes.
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Neo4j Essentials
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.
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Neo4j Graph Modeling
Design efficient and flexible databases by optimizing the power of Neo4j
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Neo4j High Performance
Design, build, and administer scalable graph database systems for your applications using Neo4j
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Neo4j in Action
Neo4j in Action is a comprehensive guide to Neo4j, aimed mainly at application developers and software architects. Using the hands-on examples, you’ll learn to model graph domains naturally with Neo4j graph structures.
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Neo4j权威指南 (Neo4j The Definitive Guide)
全书涵盖基本概念、基本操作和丰富的现实案例，特别是包含对Neo4j简体中文版及其扩展功能的介绍。无论是入门还是不错进阶均具有极高的参考价值，大数据、图数据库爱好者更值得拥有！
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NoSQL
NoSQL is a topic that covers a variety of technologies, and for which many claims are made. Translating those promises into working systems is quite a lot harder, as is working out just what is really on offer.
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NoSQL Distilled
NoSQL Distilled is a concise but thorough introduction to this rapidly emerging technology. Pramod J. Sadalage and Martin Fowler explain how NoSQL databases work and the ways that they may be a superior alternative to a traditional RDBMS.
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Practical Neo4j
Practical Neo4j is for the technical and data architects who are looking for an alternative to take their “graphy” data models from relational databases to a faster, more efficient option like Neo4j.
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Seven Databases in Seven Weeks
Seven Databases in Seven Weeks takes you on a tour of some of the hottest open source databases today. In the tradition of Bruce A. Tate’s, this book goes beyond your basic tutorial to explore the essential concepts at the core each technology.
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Spring Data
Through several sample projects, you’ll learn how Spring Data provides a consistent programming model that retains NoSQL-specific features and capabilities, and helps you develop Hadoop applications across a wide range of use-cases such as data analysis, event stream processing, and workflow.
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