Graph Databases

Author:   Ian Robinson (Brunel University UK) ,  Jim Webber ,  Emil Eifrem
Publisher:   O'Reilly Media
ISBN:  

9781449356224


Pages:   224
Publication Date:   01 June 2013
Format:   Undefined
Availability:   Temporarily unavailable   Availability explained
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Graph Databases


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Overview

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. 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

Full Product Details

Author:   Ian Robinson (Brunel University UK) ,  Jim Webber ,  Emil Eifrem
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
ISBN:  

9781449356224


ISBN 10:   1449356222
Pages:   224
Publication Date:   01 June 2013
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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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. Prior to joining the engineering team, Ian served as Neo's Director of Customer Success, managing the training, professional services, and support arms of Neo, and working with customers to design and develop mission-critical graph database solutions. Ian came to Neo Technology from ThoughtWorks, where he was SOA Practice Lead and a member of the CTO's global Technical Advisory Board. Ian presents frequently at conferences worldwide on topics including the application of graph database technologies, and RESTful enterprise integration.

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