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Graph Databases by Ian Robinson

Graph Databases

New Opportunities for Connected Data

Ian Robinson, Jim Webber, Emil Eifrem

O'Reilly Media · Print & ebook · August 4, 2015

Discover how graph databases can help you manage and query highly connected data.

Database AdministrationData ModelingDesktop Databases
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Who it’s for
A practical guide to modeling, querying, and putting highly connected data to work.
Themes
Graph database design, Connected-data querying, Graph analytics
Genres
Database Administration, Data Modeling, Desktop Databases

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Start with three books, and this one can be the first.

Members get a new edition every morning: a route out from their books to essays, research and talks, with the reason for each.

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About this book

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.

Continue reading

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

Working with Connections

A practical guide to modeling, querying, and putting highly connected data to work.

Come here for

  • Cypher and property-graph examples grounded in real-world problems
  • Guidance on graph modeling, architecture, and common pitfalls

Expect

  • Code, diagrams, and Neo4j syntax from the second edition
  • A test-driven path from planning to implementation

Where it sits

Database Administration77%
Data Modeling62%
Desktop Databases28%

Percentages are BookFrontier’s reading of the book.

Publisher categories

  • Data Science
  • Data Mining
  • Data Warehousing
  • Data Modeling
Show all 5 publisher categories
  • Data Viz
Authors
Ian Robinson, Jim Webber, Emil Eifrem
Publisher
O'Reilly Media
Published
August 4, 2015
Format
Print & ebook
Theme
Graph database design · Connected-data querying · Graph analytics
Reading lane
Data Science