32,00 €
Graph Databases. New Opportunities for Connected Data
Par : , ,Formats :
Définitivement indisponible
Cet article ne peut plus être commandé sur notre site (ouvrage épuisé ou plus commercialisé). Il se peut néanmoins que l'éditeur imprime une nouvelle édition de cet ouvrage à l'avenir. Nous vous invitons donc à revenir périodiquement sur notre site.
Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format Multi-format est :
- Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
, qui est-ce ?Notre partenaire de plateforme de lecture numérique où vous retrouverez l'ensemble de vos ebooks gratuitement
Pour en savoir plus sur nos ebooks, consultez notre aide en ligne ici
C'est si simple ! Lisez votre ebook avec l'app Vivlio sur votre tablette, mobile ou ordinateur :
- Nombre de pages238
- FormatMulti-format
- ISBN978-1-4919-3083-0
- EAN9781491930830
- Date de parution10/06/2015
- Protection num.NC
- Infos supplémentairesMulti-format incluant PDF sans p...
- ÉditeurO'Reilly Media
Résumé
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
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
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
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
