- Tapa blanda: 224 páginas
- Editor: O'Reilly Media; Edición: 1 (20 de junio de 2013)
- Idioma: Inglés
- ISBN-10: 1449356265
- ISBN-13: 978-1449356262
- Valoración media de los clientes: Sé el primero en opinar sobre este producto
Clasificación en los más vendidos de Amazon:
nº462.209 en Libros en idiomas extranjeros (Ver el Top 100 en Libros en idiomas extranjeros)
- n.° 1582 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Bases de datos
- n.° 2892 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Redes y administración de sistemas
- n.° 5873 en Libros en idiomas extranjeros > Informática, internet y medios digitales > Ciencias informáticas
- Ver el Índice completo
Graph Databases (Inglés) Tapa blanda – 20 jun 2013
|Nuevo desde||Usado desde|
|Tapa blanda, 20 jun 2013||
Hay una nueva edición de este producto:
Los clientes que compraron este producto también compraron
Descripción del producto
Reseña del editor
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
Biografía del autor
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 a co-author on the book REST in Practice (O'Reilly Media, 2010). 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.
No es necesario ningún dispositivo Kindle. Descárgate una de las apps de Kindle gratuitas para comenzar a leer libros Kindle en tu smartphone, tablet u ordenador.
Obtén la app gratuita:
Detalles del producto
Si eres el vendedor de este producto, ¿te gustaría sugerir ciertos cambios a través del servicio de atención al vendedor?
Opiniones de clientes
|5 estrellas (0%)|
|4 estrellas (0%)|
|3 estrellas (0%)|
|2 estrellas (0%)|
|1 estrella (0%)|
Opiniones de clientes más útiles en Amazon.com
- gives you concrete, real motivation for using graphDB
- decent discussion of modeling real world problems as graphs
- nice coverage of cypher
- nice coverage of neo4j
- reads a bit like an advertisement for neo4j
- doesnt discuss much about pregel or other distributed graph systems.
- the last chapter is entitled 'predictive analytics' was a bit of a let down. The first half is just BFS, DFS and A* and the second half discusses `triadic closure' ...
- its a short book and a bit fluffy.
on the whole:
i was very excited to get this book, had it on preorder....its not the bombshell i was hoping for but it is a great step in the right direction.
Even though this book is a one of a kind it is very well written and is very informative. I've read very little about graph databases in the past and the book that sparked my interest in them was NoSql Distilled, Martin Fowler Series.
After reading this book, I feel pretty confident in attempting to setup and use a graph database myself, and I plan on doing it very soon.