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Learning Neo4j 3.x : effective data modeling, performance tuning and data visualization techniques in Neo4j / Jérôme Baton, Rik Van Bruggen

Author
Baton, Jérôme
Published
Birmingham, UK : Packt Publishing, 2017.
Edition
Second edition.
Physical Description
1 online resource (1 volume) : illustrations
Additional Creators
Van Bruggen, Rik
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Contents
Learning Neo4j 3.x : effective data modeling, performance tuning, and data visualization techniques in Neo4j -- Credits -- About the Authors -- Acknowledgement -- About the Reviewers -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Graph Theory and Databases -- Chapter 2: Getting Started with Neo4j -- Chapter 3: Modeling Data for Neo4j -- Chapter 4: Getting Started with Cypher -- Chapter 5: Awesome Procedures on Cypher -- APOC -- Chapter 6: Extending Cypher -- Chapter 7: Query Performance Tuning -- Chapter 8: Importing Data into Neo4j -- Chapter 9: Going Spatial -- Chapter 10: Security -- Chapter 11: Visualizations for Neo4j -- Chapter 12: Data Refactoring with Neo4j -- Chapter 13: Clustering -- Chapter 14: Use Case Example -- Recommendations -- Chapter 15: Use Case Example -- Impact Analysis and Simulation -- Appendix: Tips and Tricks -- Index.
Summary
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 you the advantages of using graph databases along with data modeling techniques for graph databases. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. Furthermore, you'll also learn to create awesome procedures using APOC and extend Neo4j's functionality, enabling integration, algorithmic analysis, and other advanced spatial operation capabilities on data. Through the course of the book you will come across implementation examples on the latest updates in Neo4j, such as in-graph indexes, scaling, performance improvements, visualization, data refactoring techniques, security enhancements, and much more. By the end of the book, you'll have gained the skills to design and implement modern spatial applications, from graphing data to unraveling business capabilities with the help of real-world use cases.
Subject(s)
ISBN
9781786460080
1786460084
1786466147
9781786466143
Note
Previous edition published: 2014.
View MARC record | catkey: 37444923