Chapter 1, Graph Theory and Databases, explains the fundamental theoretical and historical underpinnings of graph database technology. Additionally, this chapter positions graph databases in an ever-changing database landscape. It compares the technology/industry with other data technologies out there.
Chapter 2, Getting Started with Neo4j, introduces the specific Neo4j implementation of a graph database and looks at key concepts and characteristics.
Chapter 3, Modeling Data for Neo4j, covers the basic modeling techniques for graph databases.
Chapter 4, Getting Started with Cypher, provides an overview of the Cypher query language.
Chapter 5, Awesome Procedures on Cypher - APOC, introduces the APOC library. You will learn how to use it within Cypher queries, get information on it, and find the procedure you need among the hundreds provided by the community.
Chapter 6, Extending Cypher, talks about adding functions and procedures to a Neo4j instance. Write your own APOC.
Chapter 7, Query Performance Tuning, shows you how to tune your Cypher queries for better performance.
Chapter 8, Importing Data into Neo4j, explains how to import data from different kinds of sources.
Chapter 9, Going Spatial, covers the geolocation capabilities of Neo4j, APOC, and Neo4j Spatial.
Chapter 10, Security, covers authentication and authorization in Neo4j.
Chapter 11, Visualizations for Neo4j, shows you how to display your data.
Chapter 12, Data Refactoring with Neo4j, explains how to change the data model to fit new requirements.
Chapter 13, Clustering, sets up a causal cluster using the Neo4j Enterprise edition.
Chapter 14, Use-Case Example – Recommendations, digs into a specific graph database use case--real-time recommendations--and explains it using a specific example dataset/query patterns.
Chapter 15, Use-Case Example – Impact Analysis and Simulation, analyzes the impact of a change in the network on the rest of the network. In this part of the book, we will explain and explore that use case.
