Graph Databases
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.
Table of contents
- 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
| Pages : | 238 |
| Size : | 10.5 MB |
| File type : | |
| Downloads: | 42 |
| Created: | 2022-02-02 |
| License: | CC BY |
| Author(s): | Ian Robinson, Jim Webber, Emil Eifrem |
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