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Graph Databases by Ian Robinson
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Graph Databases (edition 2013)

by Ian Robinson

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1042208,100 (3.71)1
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. 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… (more)
Member:BUMPCS
Title:Graph Databases
Authors:Ian Robinson
Info:O'Reilly Media (2013), Edition: 1, Paperback, 224 pages
Collections:Your library
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Graph Databases by Ian Robinson

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Great introduction to graph databases -- specifically Neo4j and Cypher. The approach in this book was helpful - iterating on problems and showing how one potential solution brings up new problems if you don't think it through. ( )
  adamfortuna | May 28, 2021 |
This is a book how to use Neo4j. There are quite a few code samples on how to build and use the queries. Many capabilities of Neo4j are explained in-depth in this book - safe to say "one stop shop" for Neo4j. By introducing index-free adjacency at the beginning of the book itself helped me to compare it with other types of database systems which are discussed in the later chapters.

It shows advantages over RDBMS and NoSQL data stores. How I have to adhere to foreign key constraints just to fit my data model was especially enlightening. The challenges with reciprocal queries were well illustrated as well.

Chapters on modeling have a wealth of information supported by real-world use cases. Predictive modeling is also touched upon towards the final chapters.

I expected chapters or sections on the below:
1. Performance tests of reads/writes compared with other database systems
2. When and where should I NOT use Graph Database ( )
  nmarun | Jun 13, 2020 |
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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. 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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