Book Image

Hands-On Graph Analytics with Neo4j

By : Estelle Scifo
Book Image

Hands-On Graph Analytics with Neo4j

By: Estelle Scifo

Overview of this book

Neo4j is a graph database that includes plugins to run complex graph algorithms. The book starts with an introduction to the basics of graph analytics, the Cypher query language, and graph architecture components, and helps you to understand why enterprises have started to adopt graph analytics within their organizations. You’ll find out how to implement Neo4j algorithms and techniques and explore various graph analytics methods to reveal complex relationships in your data. You’ll be able to implement graph analytics catering to different domains such as fraud detection, graph-based search, recommendation systems, social networking, and data management. You’ll also learn how to store data in graph databases and extract valuable insights from it. As you become well-versed with the techniques, you’ll discover graph machine learning in order to address simple to complex challenges using Neo4j. You will also understand how to use graph data in a machine learning model in order to make predictions based on your data. Finally, you’ll get to grips with structuring a web application for production using Neo4j. By the end of this book, you’ll not only be able to harness the power of graphs to handle a broad range of problem areas, but you’ll also have learned how to use Neo4j efficiently to identify complex relationships in your data.
Table of Contents (18 chapters)
1
Section 1: Graph Modeling with Neo4j
5
Section 2: Graph Algorithms
10
Section 3: Machine Learning on Graphs
14
Section 4: Neo4j for Production

Summary

After reading this chapter, you should be able to deploy a Neo4j database either on a single server or using cluster and sharding techniques. You should also be aware of the best practices for using the GDS with big data and the limitations of this plugin.

With this chapter, we have closed the loop we started in Chapter 1, Graph Databases, where you first started learning about graphs, graph databases, and Neo4j. Chapter 2, The Cypher Query Language, taught you how to insert data into Neo4j and query it using the visual query language known as Cypher. Chapter 3, Empowering Your Business with Pure Cypher, gave you the opportunity to use Cypher to build knowledge graphs and to perform some natural language processing (NLP) using a third-party library built by Graph Aware.

In Chapter 4, The Graph Data Science Library and Path Finding, you learned about the basics of the Graph Data Science library. Developed and supported by Neo4j, this plugin is the starting point for data science...