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Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

By : Scifo
4.6 (9)
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Hands-On Graph Analytics with Neo4j

Hands-On Graph Analytics with Neo4j

4.6 (9)
By: 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)
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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
The Cypher Query Language

Cypher is the language used to interact with Neo4j. Originally created by Neo4j for Neo4j, it has been open sourced as openCypher and is now used by other graph database engines such as RedisGraph. It is also part of the Graph Query Language (GQL) association, whose goal is to build a common graph database query language – like SQL is for relational databases. In any case, it is a good starting point to understand how to query graph databases due to its visual aspect: nodes and relationships can be identified quickly by looking at the query.

In this chapter, we will review the basics of Cypher, which will be used in this book: CRUD methods, bulk importing data with various formats, and pattern matching to extract exactly the data we need from a graph. It is a good place to introduce the Awesome Procedures On Cypher (APOC) plugin, which is an extension...

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