Graph Databases: Connected Data Modeling and Querying

Описание: The source provides an extensive overview of graph databases, particularly contrasting them with traditional relational and aggregate NOSQL stores by emphasizing their superior performance, flexibility, and agility when handling connected data. It examines the architecture of graph databases, using Neo4j as a primary example, to explain concepts like native graph storage and index-free adjacency, which enable rapid traversals. Furthermore, the text details data modeling principles using the Cypher query language, offers guidance on building and testing graph database applications, and illustrates real-world applications in areas such as social networks, recommendations, access control, and logistics. It also briefly explores graph theory concepts like triadic closure and local bridges for predictive analysis, as well as providing a general NOSQL overview.