Graph databases

by Robinson, Ian

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Title Statements

Full title :Graph databases / Ian Robinson, Jim Webber, and Emil Eifrem.

Summary

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.

Edition Statements

Publication Date:©2013.
Edition:First edition

Publication Statements

Publisher(s):O'Reilly Media, Inc
Place of Publication:Sebastopol, CA
Language:eng
Publication Date:©2013.

The Physical Object

Description:1 online resource (208 pages) : : illustrations; 1 online resource (xii, 208 pages) : : illustrations

Edition Identifiers

ISBN:9781449356224, 1449356222, 1449356265, 9781449356262, 9781449356248, 1449356249
oclc:ocn854566220
LC Classification:QA76.9.D32
Dewey Decimal:005.74

Introduction --- Options for storing connected data --- Data modeling with graphs --- Building a graph database application --- Graphs in the real world --- Graph database internals --- Predictive analysis with graph theory --- NOSQL overview.

What Is a Graph? -- A High-Level View of the Graph Space -- Graph Databases -- Graph Compute Engines -- The Power of Graph Databases -- Performance -- Flexibility -- Agility -- Summary -- Relational Databases Lack Relationships -- NOSQL Databases Also Lack Relationships -- Graph Databases Embrace Relationships -- Summary -- Models and Goals -- The Property Graph Model -- Querying Graphe-An Introduction to Cypher -- Cypher Philosophy -- START -- MATCH -- RETURN -- Other Cypher Clauses -- A Comparison of Relational and Graph Modeling -- Relational Modeling in a Systems Management Domain -- Graph Modeling in a Systems Management Domain -- Testing the Model -- Cross-Domain Models -- Creating the Shakespeare Graph -- Beginning a Query -- Declaring Information Patterns to Find -- Constraining Matches -- Processing Results -- Query Chaining -- Common Modeling Pitfalls -- Email Provenance Problem Domain -- A Sensible First Iteration? -- Second Time…

Subjects

Bases de données -- Conception Bases de données -- Gestion Computers -- Database Management COMPUTERS -- Desktop Applications COMPUTERS -- System Administration Database design Database management Databases Graph theory -- Data processing