Free Book: Graph Databases For Dummies

By Dr. Jim Webber and Rik Van Bruggen

Publisher: Wiley

Graph Databases For Dummies, Neo4j Special Edition, is a great place to start your journey with graph databases. This book assumes no previous experience with graph databases and walks you through modeling, querying, and importing graph data, all the way through to your first production system. For enthusiasts, this book may not be the only book you ever need on graph databases, but it’s a great place to start.

Free Book: Graph Algorithms: Practical Examples in Apache Spark and Neo4j

By Mark Needham and Amy E. Hodler

Publisher: O'Reilly Media

Whether you are trying to build dynamic network models or forecast real-world behavior, this book illustrates how graph algorithms deliver value – from finding vulnerabilities and bottlenecks to detecting communities and improving machine learning predictions. We walk you through hands-on examples of how to use graph algorithms in Apache Spark and Neo4j. We include sample code and tips for over 20 practical graph algorithms that cover optimal pathfinding, importance through centrality and community detection.

Fullstack GraphQL Applications with GRANDStack – Essential Excerpts

By William Lyon

Publisher: Manning

Interested in building fullstack applications with GraphQL? Fullstack GraphQL Applications with GRANDStack – Essential Excerpts will teach you how GraphQL, React, Apollo and Neo4j graph databases are used together to build complex, data-intensive fullstack applications. Will Lyon, the author and a Developer Relations Engineer at Neo4j, discusses how to implement a server-side GraphQL API backed by the Neo4j graph database.

Graph-Powered Machine Learning (excerpt)

By Alessandro Negro

Publisher: Manning

Modern machine learning demands new approaches. A powerful ML workflow is more than picking the right algorithms. You also need the right tools, technology, datasets and model to brew your secret ingredient: context. This book explores the new way of looking at machine learning – through the lens of graph technology. In particular, this excerpt takes a closer look at how graph-powered ML can be used to build hybrid, real-time recommendation engines.

Free Book: Graph Databases 2nd Edition

By Ian Robinson, Jim Webber, and Emil Eifrém

Publisher: O'Reilly Media

Graph Databases, published by O’Reilly Media, discusses the problems that are well aligned with graph databases, with examples drawn from practical, real-world use cases. This book also looks at the ecosystem of complementary technologies, highlighting what differentiates graph databases from other database technologies, both relational and NOSQL.

Learning Neo4j 3.x – Second Edition

By Jérôme Baton, Rik Van Bruggen

Publisher: Packt

Neo4j is a graph database that allows traversing huge amounts of data with ease. This book aims at quickly getting you started with the popular graph database Neo4j. Starting with a brief introduction to graph theory, this book will show… Read more →

Neo4j 2.0 – Eine Graphdatenbank für alle

By Michael Hunger

Publisher: Entwickler Press

Der Mehrwert von Informationen steckt nicht notwendigerweise in der reinen Menge von Daten, sondern vor allem in den Beziehungen zwischen Elementen. Bisher war es nicht so einfach, die interessanten, vernetzten Domänen verlustlos in einer Datenbank zu speichern und effizient abzufragen. Neo4j, besonders… Read more →

Visual Design of GraphQL Data: A Practical Introduction with Legacy Data and Neo4j

By Thomas Frisendal

Publisher: Apress

Get an introduction to the visual design of GraphQL data and concepts, including GraphQL structures, semantics, and schemas in this compact, pragmatic book. In it you will see simple guidelines based on lessons learned from real-life data discovery and unification,… Read more →