9781491930892-1491930896-Graph Databases: New Opportunities for Connected Data

Graph Databases: New Opportunities for Connected Data

ISBN-13: 9781491930892
ISBN-10: 1491930896
Edition: 2
Author: Ian Robinson, Jim Webber, Emil Eifrem
Publication date: 2015
Publisher: O'Reilly Media
Format: Paperback 236 pages
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Book details

ISBN-13: 9781491930892
ISBN-10: 1491930896
Edition: 2
Author: Ian Robinson, Jim Webber, Emil Eifrem
Publication date: 2015
Publisher: O'Reilly Media
Format: Paperback 236 pages

Summary

Graph Databases: New Opportunities for Connected Data (ISBN-13: 9781491930892 and ISBN-10: 1491930896), written by authors Ian Robinson, Jim Webber, Emil Eifrem, was published by O'Reilly Media in 2015. With an overall rating of 3.7 stars, it's a notable title among other Data Modeling & Design (Databases & Big Data, Data Mining, Data Warehousing, Data Processing) books. You can easily purchase or rent Graph Databases: New Opportunities for Connected Data (Paperback) from BooksRun, along with many other new and used Data Modeling & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.51.

Description

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
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