Graph databases /

Discover how graph databases can help you manage and query highly connected data. With this practical book, you will 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 quer...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Robinson, Ian, 1969- (Autor), Eifrem, Emil (Autor)
Otros Autores: Webber, James
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, Inc., ©2013.
Sebastopol, Calif. : O'Reilly Media, 2013.
Edición:First edition.
Temas:
Database management.
Databases.
Database design.
Graph theory > Data processing.
Bases de données > Gestion.
Bases de données > Conception.
COMPUTERS > Database Management > General.
COMPUTERS > Desktop Applications > Databases.
COMPUTERS > System Administration > Storage & Retrieval.
Database design
Database management
Databases
Graph theory > Data processing
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario:Discover how graph databases can help you manage and query highly connected data. With this practical book, you will 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 bookʹs data modeling, query, and code examples, you will quickly be able to implement your own solution: a- model data with the Cypher query language and property graph model; b- Learn best practices and common pitfalls when modeling with graphs; c- plan and implement a graph database solution in test-driven fashion; d- explore real-world examples to learn how and why organizations use a graph database; e- understand common patterns and components of graph database architecture; f- use analytical techniques and algorithms to mine graph database information.
Descripción Física:1 online resource (208 pages) : illustrations
1 online resource (xii, 208 pages) : illustrations
Bibliografía:Includes bibliographical references and index.
ISBN:9781449356224
1449356222
1449356265
9781449356262
9781449356248
1449356249

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