Language | English |
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ISBN-13 | 9781839215667 |
No of pages | 578 |
Book Publisher | Packt Publishing |
Published Date | 21 Aug 2020 |
Estelle Scifo holds a doctorate in particle physics from the University of Paris Sud (Orsay, France) having worked for the large international collaboration ATLAS at CERN (European Laboratory for Particle Physics). During this time, she enjoyed teaching physics and computer science to undergraduate students.
She then continued her career moving into the field of data science. When she found out about graphs and Neo4j, she was amazed at the possibilities they offer to create models as close to the real world as possible and she is now trying to get the word out and let everyone know about the power of graphs.
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Key Features
Book Description
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.
What you will learn
Who this book is for
This book is for data analysts, business analysts, graph analysts, and database developers looking to store and process graph data to reveal key data insights. This book will also appeal to data scientists who want to build intelligent graph applications catering to different domains. Some experience with Neo4j is required.
Table of Contents