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. You'll gain practical hands-on experience with commonly used and lesser known features for updating graph store with Neo4j's Cypher query language. 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. This book aims at quickly getting you started with the popular graph database Neo4j. Neo4j is a graph database that allows traversing huge amounts of data with ease. Understand how Neo4j's new security features and clustering architecture are used for large scale deployments. Use Neo4j advanced extensions and plugins for performance optimization. Improve graph techniques with the help of precise procedures in the APOC library Learn the Cypher query language and tailor-made procedures to analyze and derive meaningful representations of data Install Neo4j, model data and learn the most common practices of traversing data Understand the science of graph theory, databases and its advantages over traditional databases. No previous graph database experience is required however, some basic database knowledge will help you understand the concepts more easily. This book is for developers who want an alternative way to store and process data within their applications. Use Cypher query language, APOC and other Neo4j extensions to derive meaningful analysis from complex data sets.Ī practical guide filled with ready to use examples on querying, graph processing and visualizing information to build smarter spatial applications. Get acquainted with graph database systems and apply them in real-world use cases Remark: I didn't care about the performance so the generated queries were good enough in the first phase.Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database About This Book To read and write the data you can use repositories and make use of interface methods that will be used to generate the queries for you. First I've mapped the nodes and defined the relationships using the Neo4j annotations. As I already know Spring Data JPA and the programming model is very similar it was easy to get started. Spring Data Neo4j provides easy access to Neo4j. As Vaadin uses Spring Boot by default I could just add spring-boot-starter-data-neo4j for the data access. A business function can send many messages and a message can be received by many business functions.įirst I created a Vaadin project on and added the the vis-network-vaadin for the visualization. The graph below is a simplyfied model of what my client wants to manged in the application. From the Vaadin directory a component called vis-network-vaadin is available that provides a Java API on top of vis.js The Graph The network diagram seemed appropriate for the visualization. Luckely Vaadin provides the Vaadin Directory, a place to publish 3rd party components. Vaadin has a lot of great UI components but in my case there was no match. As I'm expierenced with the Vaadin framework I want to use it also in this project. Now the question was how to manage and visualize the graph. That’s why I chose Neo4j as the database. Since business functions and messages are related to each other, it made sense to represent them as a graph. Finally I've got the assigment to create a custom web application. At first we considered using a UML tool for this job, but we came to the conclusion that it might not be as flexible as we need it to be. Programming Software Architect at 72 Services LLC, Vaadin Community Award WinnerĪnalyzing and visualizing the message flow between business functions was the goal of my current project.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |