• Title Graph Databases: New Opportunities for Connected Data, 2nd Edition
• Author(s) Ian Robinson, Jim Webber, Emil Eifrem
• Publisher: O'Reilly Media, 2nd edition (July 9, 2015); eBook (Compliments of Neo4j)
• Permission: Free eBook Compliments of Neo4j
• Hardcover/Paperback: 238 pages
• eBook: PDF (238 pages, 9.9 MB)
• Language: English
• ISBN-10: 1491930896
• ISBN-13: 978-149193089
• Share This:  

Book Description

This book provides a practical foundation for those who want to apply Graph Database to real-world business solutions. You'll learn why graph database are useful, where they're applicable, and how to design and implement solutions that use them.

With an introduction to the graph database space in general, this book focuses on their practical application, using the Neo4j graph database with many data model, query, and code examples.

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

• Ian Robinson is the co-author of REST in Practice (O'Reilly Media, 2010). Ian is an engineer at Neo Technology, working on a distributed version of the Neo4j database.
• Dr. Jim Webber is Chief Scientist with Neo Technology where he researches novel graph databases and writes open source software.
• Emil Eifrem is CEO of Neo Technology and co-founder of the Neo4j project.

• Amazon

• Non-relational and NoSQL Databases
• Graph Theory
• Data Analysis and Data Mining, Big Data
• Database Systems
• Books by O'Reilly®

• Graph Databases: New Opportunities for Connected Data, 2nd Edition (Ian Robinson, et al)
• Mirror Site (1) - PDF
• Mirror Site (2) - PDF (No Registration Required)
• Mirror Site (3) - PDF (No Registration Required)
• Mirror Site (4) - PDF (No Registration Required)

• Graph Databases for Beginners (Bryce Merkl Sasaki, et al)

  This book takes those new to the world of connected data through the basics of graph technology - whether you're a business executive or a seasoned developer, something has led you on the quest to learn more about graph technology - what it does for you.

• Graph Databases and Neo4J (Anna Turu Pi, et al)

  The aim of this book is to compare graph databases to the main DBMSs to pinpoint the use cases it is more suitable for. In order to prove their effectiveness, a database using the same data set has been implemented both in Neo4j and SQL Server.

• Graph Algorithms: Practical Examples in Apache Spark and Neo4j

  This book is a practical guide to getting started with graph algorithms for developers and data scientists who have experience using Apache Spark or Neo4j. You'll walk through hands-on examples that show you how to use graph algorithms in Apache Spark/Neo4j.

• Guide to NoSQL with Azure Cosmos DB (Gaston C. Hillar, et al)

  This book is for C# developers. This book starts off by showing you the main features of Cosmos DB, their supported NoSQL data models and the foundations of its scalable and distributed architecture.

• Firebase Essentials (Neil Smyth)

  This book provides everything you need to successfully integrate Firebase cloud features into your Android apps. The book is organized into chapter groups that focus on specific Firebase features, with each topic area consisting of a detailed overview.

• How To Manage a Redis Database (Mark Drake)

  This book aims to provide an approachable introduction to Redis concepts by outlining many of the key-value store's commands so readers can learn their patterns and syntax, thus building up readers’ understanding gradually.

• Redis for Dummies, Limited Edition (Steve Suehring)

  Discover Redis data structures and modules. Create applications with Redis. Learn about Redis use cases. Go beyond the basics to understand how Redis is powering the real world with use cases such as caching, session stores, geospatial indexing, full-text search, ...

• O'Reilly® CouchDB: The Definitive Guide (J. Chris Anderson, et al)

  This book teaches the fundamentals of one of the most powerful database engines ever created for the price of a good lunch.

• Apache Cassandra Succinctly (Marko Svaljek)

  Step outside the relational world and learn how to store data with Apache Cassandra, the massively popular NoSQL distributed database system. You will be able to store and model data using the Cassandra Query Language, and use Cassandra within your own apps.