Professional paper

Graph Technologies in Data Science: Application of Neo4j and Cypher Language

Martina Šuman ; Rinels d.o.o
Sabrina Šuman orcid.org/0000-0003-3805-7435 ; Veleučilište u Rijeci
Bruno Polonijo orcid.org/0009-0003-1905-1692 ; Veleučilište u Rijeci

Abstract

Graphs provide an intuitive and visually clear way of representing data, enabling easy identification of key features, entity groupings, or anomalies that may not be apparent in traditional tabular formats. They enable a more detailed understanding of the relationships between entities, uncover hidden patterns, identify key entities within the data network. This paper explores the role and application of graph-based data modeling technologies in the field of data analytics. It provides an overview of new trends in data analytics, with a particular focus on graph databases as efficient solutions for managing and analyzing networked data. It also describes business applications of graph technologies and presents examples of data analysis and visualization using the Neo4j environment with Cypher, a query language specifical for graph databases.

Keywords

GDS (Graph Data Science), Graph Databases, Graph Visualisation, Neo4j, Cypher

Hrčak ID:

328535

URI

https://hrcak.srce.hr/328535

Publication date:

19.12.2024.

Article data in other languages: croatian

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