Getting Started with Neo4j: A Beginner's Guide to Graph Database Technology
- Добавил: literator
- Дата: 7-10-2025, 05:30
- Комментариев: 0
Автор: Narendra Panchtilak
Издательство: Independently published
Год: 2025
Страниц: 178
Язык: английский
Формат: epub (true)
Размер: 30.3 MB
This book serves as an introduction to Neo4j, a leading graph database technology. Designed for beginners, it explores the fundamental concepts of graph databases, explaining how they differ from traditional relational databases and why they are useful for handling complex, connected data. Readers will learn how to install and set up Neo4j, model data as graphs, and write queries using Cypher, Neo4j’s powerful query language. The book includes practical examples and real-world applications, making it an excellent resource for developers, data analysts, and anyone interested in leveraging graph databases for data relationships and insights.
Neo4j is the world's leading open source Graph Database which is developed using Java technology. It is highly scalable and schema free (NoSQL). What is a Graph Database? A graph is a pictorial representation of a set of objects where some pairs of objects are connected by links. It is composed of two elements - nodes (vertices) and relationships (edges). Graph database is a database used to model the data in the form of a graph. Here, the nodes of a graph depict the entities while the relationships depict the association of these nodes. Neo4j is a popular Graph Database. Other Graph Databases are Oracle NoSQL Database, OrientDB, HypherGraphDB, GraphBase, InfiniteGraph, and AllegroGraph.
Nowadays, most of the data exists in the form of the relationship between different objects and more often, the relationship between the data is more valuable than the data itself. Relational databases store highly structured data which have several records storing the same type of data so they can be used to store structured data and they do not store the relationships between the data. Unlike other databases, graph databases store relationships and connections as first-class entities. The data model for graph databases is simpler compared to other databases and they can be used with OLTP systems. They provide features like transactional integrity and operational availability.
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