Graph Databases

Webber, Jim, Robinson, Ian

ISBN 10: 1491930896 / ISBN 13: 9781491930892

Published by O'Reilly Media, 2015

About this Item

Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.

Seller Inventory # M01491930896-B

Bibliographic Details

• Title: Graph Databases
• Publisher: O'Reilly Media
• Publication Date: 2015
• Language: English
• ISBN 10: 1491930896
• ISBN 13: 9781491930892
• Binding: Soft cover
• Edition: 2nd Edition
• Condition: acceptable

About this title

Synopsis

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

About the Authors

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.

Dr. Jim Webber is Chief Scientist with Neo Technology where he researches novel graph databases and writes open source software. Previously, Jim spent time working with big graphs like the Web for building distributed systems, which led him to being co-author on the book REST in Practice, having previously written Developing Enterprise Web Services - An Architect's Guide. Jim is active in the development community, presenting regularly around the world. His blog is located at http://jimwebber.org and he tweets often @jimwebber.

Emil Eifrem is CEO of Neo Technology and co-founder of the Neo4j project. Before founding Neo, he was the CTO of Windh AB, where he headed the development of highly complex information architectures for Enterprise Content Management Systems. Committed to sustainable open source, he guides Neo along a balanced path between free availability and commercial reliability. Emil is a frequent conference speaker and author on NoSQL databases.